Data Driven: Recent Episodes
Data Driven
Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday.
The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand.
In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.
In this episode of Data Driven, hosts Frank La Vigne, Candace Gillhoolley, and BAILeY sit down with Mike Armistead, CEO of Pulse Security AI—a cybersecurity veteran who's been fortifying digital defenses since before AI made headlines and hackers had professional profiles. Together, they dig into the dual-edged sword that is artificial intelligence in cybersecurity, exploring how AI serves as both a powerful tool against cyber threats and a potential weapon in the wrong hands.
Mike Armistead shares stories from the front lines, including his experience during the "code red" era at Google when ChatGPT shook up the tech world, and offers real-world advice on why LLMs (large language models) aren’t the magic fix for every problem—and why they desperately need guardrails. You’ll hear why your next big data breach could be hiding in a cleverly crafted AI prompt, why humans still matter when it comes to judgment calls, and why good old-fashioned security hygiene is as critical as ever.
Whether you’re a developer, data scientist, or just password-paranoid, this episode will make you rethink how you approach security in the age of AI. Tune in for expert insights, hard-earned lessons, and a few laughs as the Data Driven crew uncovers where technology, risk, and "common sense" collide.
Time Stamps00:00 AI-Assisted Cybersecurity for SOCs
04:26 "AI Rush and LLM Insights"
09:12 AI-Powered Cybersecurity Strategy Insights
10:01 "Cybersecurity, ChatGPT, and Impressions"
13:17 AI Tools: Power and Risks
18:06 "Teaching Critical Thinking in AI Era"
20:59 "Guardrails and Next-Gen AI Systems"
24:22 Human Judgment vs AI Limitations
27:37 "Pressure Testing for Accuracy"
30:09 Future Tech Advancements and Challenges
34:58 "Risk Awareness Beyond Compliance"
37:38 "Cybersecurity Risks and AI Defense"
41:54 Cybersecurity Risks and Preparedness
43:04 "Situational Security in Practice"
46:05 "Cybersecurity's Evolving Threat Landscape"
51:52 "Builders vs. Destroyers Mindset"
55:05 Modern Password Practices
56:39 "Pulse Security AI & Community"
In this episode, Frank La Vigne sits down with Itay Haber, CEO of Data Noetic, to unpack how AI is revolutionizing supply chain management. Forget spreadsheets and dashboards—Data Noetic is building an autonomous digital brain that proactively tackles delivery bottlenecks and bridges the gap between scattered data and process improvement.
You’ll hear real-world tales of missed bathroom tile deliveries, multi-million dollar construction delays, and the true impact of getting ahead of supply chain hiccups before they snowball. The trio explores how agentic AI isn’t just hype: it’s driving tangible results, saving time, boosting KPIs, and reimagining how companies of all sizes make decisions. From pharmaceuticals to consumer packaged goods, discover why trust, transparency, and agility are the new gold standards in supply chain operations—and how data-driven agents just might become indispensable.
Tune in for a masterclass that balances digital wisdom with a dash of dry wit, and learn how emerging tech is helping organizations deliver on time, in full, and with a whole lot less existential angst.
Time stamps00:00 "Autonomous Supply Chain Optimization"
06:01 "Optimizing On-Time Delivery Failures"
07:27 Proactive Warehouse Order Management
13:06 "Aligning Perception with Reality"
15:08 "Streamlining Order Fulfillment Process"
18:18 "AI Revolutionizing Problem Coordination"
22:18 "Data Validation and AI Insights"
25:04 Predictive KPI Monitoring with Gen AI
27:09 Clarifying Questions for Assistance
31:37 "Tailored Software Delivery Models"
34:35 "AI's Role in Complex Industries"
37:00 "AI Focus and Value Debate"
42:37 "AI Bubble and Valuations"
46:43 AI's Transformative Impact on Jobs
48:17 AI Enhances Jobs, Not Replaces
51:44 "AI: Boom, Bust, Transformation"
57:38 "AI, Data, and Change"
Welcome to another exciting episode of Data Driven! On this week’s show, hosts Frank La Vigne and Candace Gillhoolley take you inside the NVIDIA GTC conference in Washington, DC—an event that’s rapidly evolved from a hardware showcase into a crossroads for AI, robotics, and quantum computing innovation. Frank shares his firsthand experience navigating the expo floor, offering a glimpse into the latest cutting-edge tech, from GPU supercomputers to quantum networking breakthroughs and swarms of robots. Candace and Frank discuss the growing intersections between fields like quantum biology and AI, and share stories about the curious mix of attendees—from government officials and policymakers to technologists, students, and even a few cosplay “Jensen Huangs.”
Whether you’re a data enthusiast, a future-focused technologist, or simply quantum curious, this episode dives into the national security implications of AI, the importance of lifelong learning in tech, and how the rise of quantum and robotics will disrupt careers and industries alike. Tune in for insider anecdotes, expert encounters, and a dose of practical wisdom about adapting in the world of emerging technologies—the future is here, and it’s happening faster than ever.
Links* Frank gets a shout out from Pluralsight -https://www.pluralsight.com/resources/blog/upskilling/frank-lavigne-customer-story * Jensen Huang's DTC DC Keynote -https://www.youtube.com/watch?v=lQHK61IDFH4 * Mariya & Python Simplified -https://www.youtube.com/@pythonsimplified
Time Stamps00:00 "Nvidia GTC Highlights and Expo"
03:36 "Quantum, AI, and Innovation Highlights"
07:18 Tech and Government Amid Furlough
10:24 "Tech Components in Booz Allen Vehicle"
14:37 Meeting Maria Shah
19:11 Career Shifts and Evolutions
23:06 From Books to Tech Publishing
24:44 Quantum Insights with Researcher
29:01 "Nvidia: Emerging Defense Contractor"
32:25 Tech Innovations: AI, Quantum, Robotics
36:44 "Live Streaming Quantum & Tech"
37:40 "High-Speed Quantum Interconnects"
41:01 Technical Translation for Accessibility
44:19 "High School, Future, Nvidia Innovation"
49:28 "Guest's Learning Experience"
50:45 "Quantum Business Strategy"
53:36 British AI Outro Stream
On this episode of Data Driven, hosts Frank La Vigne and Leonard celebrate a major milestone: the 30th anniversary of Franksworld.com, one of the OGs of tech blogging that’s survived multiple browser wars, dot-com crashes, and the relentless march of Internet time. Joined by guest Saket Saurabh, they dive into the rapidly evolving landscape of AI, data science, and technology, comparing today’s AI boom to previous tech bubbles and exploring trends in sovereign AI, data sovereignty, and global competition in quantum computing.
The conversation takes us from the days of hand-coded HTML uphill in both directions, to modern challenges like scheduling snafus, rapid automation, and the possibilities (and pitfalls) brought on by artificial intelligence. Along the way, Frank and Saket reflect on the cycles of tech innovation, the impact of global politics on data and AI, and what it really means to adopt new technology mindsets.
Tune in for a lively ride through tech history, lessons learned, and a discussion on how a scrappy few—and a little help from AI—can rival teams of seventy. If you’re curious about what’s next in AI, data, or you just want a dose of digital nostalgia and practical insight, this episode’s for you.
Links* FranksWorld.com -http://www.FranksWorld.com * Who Moved My Cheese -https://amzn.to/4oeqGvs * Impact Quantum Global Report -https://impactquantum.com/GlobalReport/ * Impact Quantum Podcast -https://impactquantum.com/ * AutonomousWarfare.ai -https://autonomouswarfare.ai/
Some links may be affiliate links.
Time Stamps00:00 Grok 4 Daily Updates
05:22 "AI Bubble: Caution and Trends"
12:10 "X64 Chips and Tech Rivalry"
19:49 "Appreciating Thoughtful Scientific Content"
25:34 "History's Arcs and Overcorrections"
27:24 "Unique Identity Beyond Models"
32:03 "Reexamining Privacy Awareness"
41:22 "Geopolitical Prudence and Resources"
47:49 "AI, Podcasts, and Off-Roading"
50:37 "Talking Recycling Bin Origins"
54:37 "AI as a Multilingual Solution"
59:49 Reinventing MCP and Context Memory
01:05:12 "Artistic Talent Meets Engineering"
01:14:08 "Data, AI, and Mastermind Insights"
Welcome to another episode of Data Driven, where we dive deep into how data and AI are shaping—sometimes shaking—the modern world. In this episode, hosts Frank La Vigne, Andy Leonard, and Carmen Li sit down with Carmen Lee, the trailblazing CEO of Silicon Data and a former Bloomberg data aficionado.
Carmen’s on a mission to bring clarity to the wild west of GPU compute markets, and she shares with us how she’s turning raw compute into a true tradable commodity—think futures markets for GPUs, the “Bloomberg terminal” for AI infrastructure, and perhaps even a Carfax for your next used GPU cluster.
Together, they explore everything from why AI startups struggle with fluctuating margins, to the crucial role TSMC plays in the world economy, all the way to the data transparency that might be the missing piece in AI’s explosive growth. Whether you’re curious about benchmarking GPUs, tokenomics, managing infrastructure costs, or just want a glimpse into the future of data markets, this one’s for you.
Stay tuned for a fascinating conversation on normalizing chaos, hedging tech costs, geeking out over hardware, and even a few laughs about used GPU “car lots” in Virginia. Let’s get data driven!
Links* Silicon Data -https://www.silicondata.com/ * Dancing with Qubits -https://amzn.to/4mIOG8U * The Nvidia Way -https://amzn.to/3VH9aUv
Time Stamps00:00 "AI Commodities and GPU Markets"
06:56 Ecosystem Transparency Benefits All
10:55 AI SaaS Cost Optimization Challenges
13:41 Token Economics in Cloud AI
15:27 Optimizing GPU and Token Commitment
18:41 Token-Based Product Innovation
25:00 "Verifying UIDs and Connectivity"
28:43 Measuring GPU Performance
30:41 Supply Chain Impact on GPU Industry
35:43 "TNC's Unchallenged Leadership in Supply Chain"
36:31 Silicon Ecosystem Collaboration
39:38 Nvidia's Strategic TSMC Capacity Purchase
42:51 Bloomberg's Media and Finance Expansion
46:53 "Quantum Reading Challenges"
50:13 "Data Driven Podcast Wrap-Up"
In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.
Christopher takes us on a whirlwind tour of Google DeepMind’s pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.
If you’re curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.
Time Stamps00:00 Upcoming European and US Conferences
05:38 AI Optimization Plateau
08:43 Simulation's Role in Spatial Awareness
10:00 Evolutionary Efficiency of Human Brains
16:30 "Robotics Laws and Contradictions"
17:32 AI, Paperclips, and Robot Ethics
22:18 Troubleshooting Insight Experience
25:16 Challenges in Training Deep Learning Models
27:15 Challenges in Continuous Model Training
32:04 AI Gateway for Specialized Requests
36:54 Open Source and Rapid Innovation
38:10 Industry-Specific AI Breakthroughs
43:28 Misrepresented R&D Success Rates
44:51 POC Challenges: Meaningful Versus Superficial
47:59 "Crypto's Bumpy Crash"
52:59 AI: Beyond Models to Simulation
Welcome to another episode of Data Driven! Today, hosts Frank La Vigne and Andy Leonard, are joined by Dr. Ido Zamberg—a rare breed who’s equally comfortable rebooting servers and saving lives.
Dr. Zamberg is a physician, software engineer, chief medical officer at C8 Health, and a true innovator at the intersection of medicine and technology. In this episode, we dive into his unique journey from startups and coding to the operating room, exploring how his hands-on technical expertise is helping frontline clinicians access real-time, AI-powered decision support.
Expect fascinating insights into the evolution of healthcare technology, the challenges (and rewards) of bridging vastly different worlds, and why seamless access to best practices at the point of care can be truly lifesaving. Dr. Zamberg shares anecdotes from his career, reflects on the importance of context-driven solutions, and offers a behind-the-scenes look at making clinical workflows smarter, faster, and safer with modern AI. So if you’re curious about how SQL queries meet scalpel skills, this is an episode you won’t want to miss!
Time Stamps00:00 From Software Engineer to Physician-Entrepreneur
06:04 "From Tech to Medicine: A Journey"
07:43 Tech-Medicine Integration Challenges
12:55 Diverse Medical Experience Overview
14:49 "Healthcare Solutions Over Tech Focus"
18:41 Hospital Best Practices Standardization
20:46 Streamlined Clinician Information Platform
23:59 Solving Healthcare Inefficiencies
29:22 Understanding the Challenges of Tough Jobs
30:11 Practice Grace Over Wealth
33:59 Healthcare Platform for Providers
39:11 Generative AI in Clinical Queries
42:16 Value of Expertise in Problem-Solving
43:48 Praising Expert in AI Medicine
47:50 AI Revolutionizing Healthcare Information
51:27 Data, Coffee, and Code Insights
On this episode of Data Driven, we venture into the ever-shifting landscape of software engineering, AI-assisted coding, and the sometimes chaotic future of development teams with special guest Thanos Diacakis—no, not the Marvel villain, but a powerhouse in software leadership whose career spans scrappy startups to tech giants like Uber.
Hosts Frank La Vigne, Andy Leonard, and resident AI BAILeY welcome Thanos for an insightful, witty, and sometimes philosophical conversation about the promise and perils of AI in software engineering. From the rise (and risks) of “vibe coding” to the changing definition of good engineering, Thanos shares firsthand experiences, pitfalls to avoid, and why solid fundamentals matter now more than ever—even with AI churning out code at lightning speed.
We also explore how AI is reshaping workflows for both solo developers and large teams, the difference between local and global efficiency, and how bottlenecks are shifting in this new era. Thanos breaks down his “seven mental models” for effective engineering, demystifies the right way to work with AI tools (instead of letting them run wild), and explains why junior devs still deserve a seat at the table.
If you’re curious about the real impact of AI-assisted coding, worried about the next wave of software “apocalypse,” or just eager for practical strategies to keep your teams productive and sane, this episode is packed with the wisdom, humor, and actionable takeaways you’ll want to hear. Buckle up as we dive deep into the code base—this is Data Driven, where the only thing disappearing is inefficiency.
Links* Cosmic Teacups: https://www.cosmicteacups.com/ * The Goal 40th Anniversary Edition: https://amzn.to/4lGhZbI (Amazon affilliate link) * The Goal Graphic Novel (Yes, really) https://amzn.to/47ohIXx (Amazon affilliate link)
Time Stamps00:00 "Exploring AI Coding with Thanos"
05:20 Revolutionizing Productivity with Code
08:18 Cross-Platform Utility Development
12:14 Database Costs Drop, Demand Surges
14:43 Unauthorized Copying of Software Manuals
17:54 "Chunked Narratives Enhance LLM Performance"
19:43 Grox Impressive Despite Incompletion
24:40 Reviving a Startup with AI
28:53 Bottleneck Identification and Resolution Strategy
29:37 Incremental Improvements Drive Success
34:40 Agile's Evolution: Remembering Its Roots
38:41 Balancing Features and Tech Debt
42:50 Software Estimations: A Management Trap
45:55 Managing Project Time Expectations
47:47 Trust Building Through Incremental Delivery
51:23 Language Models: Human Cognition Parallel?
56:04 "Exploring Intelligence: Brains vs. AI"
58:06 "Data Driven Episode Conclusion"
On this episode of Data Driven, we’re shuffling up some probability, statistics, and a bit of Las Vegas magic with Dr. Michael Orkin—a renowned statistician, data scientist, and former advisor to casino odds makers. Hosts Andy Leonard, Frank La Vigne, and BAILeY dig into the fascinating numbers behind games of chance, uncovering why the house almost always wins and how our brains are wired to find patterns—sometimes where none exist.
Whether you’re a data enthusiast, a casual gambler wondering why your lucky streak never lasts, or just curious about how randomness, probability, and big jackpots work, this episode has you covered. Dr. Orkin breaks down concepts like the house edge, expected value, card counting, the allure (and statistical pitfalls) of lottery tickets, and the psychology driving “hot” and “due” gambling strategies. Plus, he weighs in on lightning strikes, Black Swan events, correlation and causation, and the curious human habit of seeing connections in random outcomes.
So, get ready for a lively conversation that reminds us data is everywhere—especially where stakes are high and luck seems just out of reach. Whether you’re here for probability puns, real-world math, or the stories Vegas doesn’t want you to know, this is one episode you won’t want to miss!
LinksThe Story of Chance https://amzn.to/45qOe8x
Dr Mike's Substack https://drmikeorkin.substack.com/
Moments00:00 Casino House Edge Explained
08:54 "Random Chance and Unlikely Events"
12:03 Justifying Buying Lottery Tickets
16:58 "SBF: Crypto King Unraveled"
26:34 Lightning Strike Probability Calculation Issues
32:26 Average Beyond Desk Boundaries
33:26 "Defining Accident Prone"
39:31 Misjudging Odds with Normal Curve
45:50 Avoiding Lightning Strikes: Bay Area
55:11 Casino Mind Games Experience
56:20 Roulette Betting Strategies: Apophenia
01:03:33 "Dr. Orkin's Website & Substack"
01:07:19 "Probability and the House Edge"
Welcome to another episode of Data Driven, where we delve deep into the crossroads of data, technology, and the ever-shifting world of geopolitics. In this packed episode, hosts Frank La Vigne and Bailey are joined by Christopher Nuland, AI technical marketing manager at Red Hat, for a candid, no-holds-barred discussion on the newly released America's AI Action Plan.
Together, they tackle everything from the resurgence of Cold War tensions in the AI arena to the complexities of “AI sovereignty” and what it really means for the US, China, and the rest of the world. Expect spirited debates about EU’s place in the global AI race, the real-world implications of chip supply chain disruptions, and the heated rhetoric around workforce security in an era when AI is starting to replace traditional jobs.
The conversation weaves through existential questions—can AI ever truly reason, or are we just witnessing the rise of superpowered “spreadsheet goblins?”—and gets hands-on with the very real risks (and opportunities) of rolling out LLMs in everyday workplaces. Plus, the team touches on power-hungry data centers, potential impacts on the job market, and even finds time to swap sci-fi references from The Expanse to Ghost in the Shell to help paint a picture of what our AI-dominated future might look like.
Buckle up for a dense, dynamic, and dangerously nerdy journey into the world of AI policy, technology, and what it means for all of us. Let’s get into it!
Timestamps00:00 AI Geopolitics & America's Action Plan
08:14 EU's Role in Tech Hierarchy
14:10 "US Focus: Securing AI Workforce"
20:40 Supply Chain Security in Software
24:24 Politicians' Technical Proficiency Limits
27:19 AI Sovereignty and Cultural Values
33:52 CHIPS Act: Innovation and Expansion Hopes
38:11 "AI Vulnerability: Patch Attacks"
47:58 Maryland Power Line Controversy
50:09 "AI Impact on Jobs & UBI"
55:47 Techno Feudalism Perspective
01:04:41 "AI Sovereignty: A Geopolitical Chess Match"
In today’s conversation, hosts BAILeY and Frank La Vigne sit down with Dr. Alan Becker, co-founder and CEO of E Self AI and former co-founder of Voca AI, which was acquired by Snap in 2020. Dr. Becker brings a powerhouse combination of academic expertise and entrepreneurial experience, with a PhD in machine learning and AI and research spanning voice, NLP, and computer vision.
This episode dives into how E Self AI is transforming human-machine interaction by moving beyond chat and voice—introducing real-time face-to-face video AI assistants. Imagine smarter digital avatars that don’t just talk but engage visually and contextually, delivering personalized tutoring, streamlined customer service, and even real estate tours.
Along the way, the conversation goes deep: they discuss the pyramid of engagement from text to voice to fully visual interaction, and what the next generation of AI means for education, accessibility, and the way we connect with each other. Dr. Becker offers insights from his research on multimodal AI and reflects on the very philosophical questions these new technologies raise—like authenticity, connection, and the future of what we call “real.”
Whether you’re curious about the engineering magic behind lifelike avatars, the ethical dilemmas of AI interviews, or how technology is reshaping the learning experience, this episode is a fascinating look at where artificial intelligence—and humanity—are headed next.
Strap in, update your firmware, and get ready to stay Data Driven.
ESelf Website: https://www.eself.ai/
TimeStamps00:00 "Exploring AI with Dr. Becker"
05:49 Accessibility Drives eSelf's Innovation Journey
06:58 Advanced Voice Interaction Evolution
11:33 Personalized Tutoring via Multimodal AI
14:33 AI in Sci-Fi and Real Life
16:21 Understanding Users Via Encoding Algorithms
19:44 Digital Twin to AI Avatars Transition
23:14 AI Misunderstandings Due to Background Noise
27:19 AI's Role in Job Interviews
32:36 Nvidia Tool Alters Eye Contact
35:15 AI-Human Communication Blur
38:31 Reality and Gaming Perception Debate
41:51 Influencer Reality vs. Perception
44:45 Identity and Authenticity Dilemma
48:30 "Influencer's Authenticity vs. Flashiness"
53:22 Fake Celeb Math Explainer TikToks
56:10 "AI's Future: Human-Like Interaction"
57:07 Data-Driven Focus
Welcome to another episode of Data Driven—the podcast where we explore the future of technology, one neural network at a time. In this episode, your hosts Frank La Vigne and Bailey are joined by Christopher Newland, Principal AI Technical Marketing Manager at Red Hat, globetrotter, and resident connoisseur of computer flea markets. Together, they embark on a lively journey through the ever-evolving landscape of artificial intelligence.
You’ll hear tales of racking servers in suburban garages, nostalgic detours through the golden age of CompUSA and cable boxes, and candid reflections on building (and rebuilding) home labs. But it’s not all geek nostalgia. The conversation dives deep into the highly-discussed AI 2027 report—a speculative look at how AI might break free from human control, achieve superintelligence, and fundamentally alter our relationship with technology and society.
They unpack the challenges of AI infrastructure, the real-world limits of doomsday predictions, and the growing importance of data privacy and AI sovereignty. It’s a spirited, thought-provoking, and sometimes hilarious ride through past, present, and possible futures of artificial intelligence. So grab your favorite GPU-powered device, settle in, and get ready for a fascinating exploration of what might just send our world delightfully sideways by 2027!
Time Stamps00:00 "AI 2027: Future Unplugged"
05:47 Nvidia DGX Spark: AI Desktop Revolution
09:42 "Experienced Workers Elevate Retail Experience"
11:41 Early PC Build Challenges
17:00 Supply Chain Management Challenges
19:35 Garage Tech Showcase Challenges
23:22 AI Deception and Arms Race
24:34 Robotics Future and AI Manpower
29:15 Concerns with 2027 AI Report
32:41 Balancing Regulation and Free Market
37:04 "Theoretical Limits of AI Models"
38:32 "AI Sovereignty Discussion"
43:03 "Stay Curious, Stay Data Driven"
In this episode, host Frank La Vigne is joined by Amir Berman, VP of Industry Transformation at Buildots, to explore how AI, computer vision, and cutting-edge analytics are revolutionizing the construction industry. Forget everything you thought you knew about dusty blueprints and endless delays—Amir shares how technology is helping build smarter, safer, and more efficient job sites. From real-time progress tracking with 360° cameras to predictive analytics that keep billion-dollar projects on schedule, this conversation uncovers how digital transformation is reshaping one of the world’s oldest industries. Whether you’re a tech fanatic, data enthusiast, or just curious about how skyscrapers go from chaos to code, this episode builds a compelling case for the power of AI in construction. Grab your virtual safety goggles—let’s get hands-on with the future of building.
Links* https://buildots.com/ * http://thedatadrivenbook.com/
Timestamps00:00 Construction's Digital Transformation Insights
09:15 Tech Vendors: Respect Contractors' Limits
14:23 "Technology Enhances Construction Oversight"
17:03 "Rewiring Minds: Tech Enhances Performance"
27:25 Predictive Analytics Exposes Construction Delays
28:19 Proactive Problem-Solving in Construction
38:31 Tech-Enhanced Workforce Retention Strategy
40:28 AI for Pipeline Problem Mitigation
45:14 "From Flash to Data Analytics"
52:24 The Innovator's Dilemma Explained
54:56 Embracing AI After Windows Mobile Flop
01:00:29 "Smart Construction with Computer Vision"
Welcome to the season nine premiere of Data Driven, where we kick things off with a thought-provoking deep dive into the world of AI-powered leadership. In this episode, hosts Frank La Vigne, Andy Leonard, and BAILeY are joined by Geoff Woods, bestselling author of "The AI Driven Leader." Together, they explore how artificial intelligence is quickly evolving from a tactical tool that writes emails and automates tasks to a transformative thought partner that can help leaders navigate high-stakes business decisions, develop innovative strategies, and even challenge their own thinking.
Geoff challenges the notion that AI is just another tech buzzword and shares real-world stories of executives using AI as a strategic confidant—literally building virtual AI boards featuring iconic figures like Steve Jobs and Warren Buffett. He breaks down his practical CRIT framework (Context, Role, Interview, Task), offering listeners actionable ways to move beyond surface-level AI use and harness its power for exponential personal and business growth.
Whether you’re a seasoned data scientist, a curious executive, or just someone looking to level up your leadership skills, this conversation will inspire you to reconsider how you work with AI—and how much more you can achieve when you use it as your smartest collaborator yet. Get ready to have your assumptions challenged, your creativity sparked, and your sticky notes filled with new ideas. Let’s get data driven!
Timestamps00:00 "AI: Your Strategic Cofounder"
05:26 Strategic Leadership with AI
07:35 "Focusing on 20% High-Impact Tasks"
11:07 AI Strategies for Debt Restructuring
13:28 AI in Negotiations: Role Play Insights
19:01 Mentor in Your Pocket
21:52 "Imaginary Advisory Board"
25:17 "Starting AI: First Domino Approach"
28:33 Coaching Corporate Growth Strategy
31:51 Interactive Knowledge Experience
35:06 "Becoming an AI-Driven Leader"
38:54 "Visionary Super Connector"
43:06 Leadership Beyond Technology
47:11 Rethinking AI and Strategic Questions
49:26 "AI-Powered Strategic Visioning"
53:29 "Choosing Growth Over Perfection"
56:24 AI Achievements: Overcoming Imposter Syndrome
Andy and I are kicking off Season Nine of Data Driven with a bang: an insightful interview with Jeff Woods, author of “The AI Driven Leader.”
Andy, Bailey, and I are thrilled to bring you brand-new conversations, deep dives, and data stories all season long. Stay tuned for the official release, and as always, thank you for being part of our data-driven journey.
Listen for the Season Nine kickoff soon!
This week, Frank sat down with Dr. Jacob Leverich—Stanford PhD, cofounder of Observe, and a veteran of the Google MapReduce team and Splunk. Jacob’s journey, from tinkering with video game code as a kid, to innovating at the cutting edge of distributed systems and energy efficiency, is as inspiring as it is informative.
Key Takeaways Early Tech Roots: Hear how curiosity with QBasic and classic PCs (think IBM PCXT and Commodore) put Jacob on a path to high-impact data engineering. * MapReduce, Dremel, & the Rise of Big Data: Jacob pulls back the curtain on working with some of the most influential data processing tools at Google and how these systems shifted the entire data landscape (hello, BigQuery!). * Building Efficient Systems: It’s not just about scale—energy efficiency and performance optimization are the unsung heroes of today’s data infrastructure. Jacob explains why making things “just work” isn’t enough anymore. * The Realities of Ops & Observability: Remember the days of grepping logs at 2AM? There’s a better way. Jacob shares how platforms like Observe help teams consolidate, visualize, and act on operational data—turning chaos into actionable insight. * Bridging Data & Ops: The lines between data observability and traditional ops are blurring, and Jacob’s unique experience shows how best practices from data warehousing are finally making ops smoother (and less sleepless). * Power Concerns & the Future:* As data grows, so does energy consumption in data centers. Find out why optimization isn’t just good for performance—it’s key to sustainability.
Timestamps00:00 Interview with Jacob Levrich
05:59 Journey into Game Programming
06:43 "Pursuing Fast Video Game Code"
10:23 Data Processing and Power Efficiency
16:11 Snowflake's Transformative Database Approach
19:18 Journey to Data Management Industry
21:37 Data Products: Solving Core Challenges
27:07 Early Web Log Analysis Techniques
28:57 Consolidating Data for Efficiency
33:23 Specialized Tools and Context Switching
35:43 Unique Dual-Expertise in Tech
38:58 User-Centric Business Strategies
42:13 IP Data Analysis in Cloud
47:23 Electricity Transport Upsets Local Farms
48:25 Shift to Parallel Computing
52:10 Hardware Specialization & Software Optimization
57:32 "Stay Data Driven"
Welcome to another insightful episode of Data Driven! Today, we're diving into the world of warehouse-native analytics with our special guest, István Mészáros, cofounder of Mitsu. Join us as we explore how Mitsu empowers startups and enterprises with a new approach to data analytics. From his beginnings as a CERN physicist to becoming an open-source evangelist and finally a startup founder, István shares his unique journey through the data industry.
We'll discuss the motivation behind Mitsu's distinct branding, reminiscent of Hello Kitty, and why standing out in today's crowded market is crucial. István also reveals the challenges and strategies of building a data company in Europe, and how Mitsu simplifies analytics by offering a self-service solution without the high costs associated with existing market leaders.
Timestamps0:00 Introducing István Mészáros
05:30 Shifting Open Source to SaaS
07:46 Lava-Themed Compliance Solutions Brand
10:27 Tech Branding and Hello Kitty Insights
13:46 Optimizing Conversion in Data-Heavy Travel
16:31 Self-Service Analytics Tool Needed
19:17 Automated Product Analytics Tool
23:20 "Budget Constraints and DIY Solutions"
28:17 Freelancer's Efficient Data Solutions
29:08 Open Source Tool Productization Plan
33:13 Navigating Freelance and Startup Challenges
37:19 Transitioning to Data Engineering
42:25 Instant Feedback in Hobbies
43:46 Embracing Feedback in Business Transformation
49:13 "Hoping AI Takes Over Hiring"
51:58 Visit Site for Info & Contact
55:22 "Parenting Boys with Earbuds"
57:25 "Data Driven: Quantum Podcast Relaunch"
On this episode of Data Driven, we welcome Barr Moses, CEO and co-founder of Monte Carlo, as she delves into the fascinating world of data observability.
Join hosts Frank La Vigne and Andy Leonard as they explore how reliable data is crucial for making sound business decisions in today's tech-driven world. Learn why a simple schema change at Unity resulted in a $100 million loss and how Monte Carlo is developing cutting-edge solutions to prevent similar disasters. From discussions on ensuring data integrity to the intriguing potential of AI in anomaly detection, Barr Moses shares insights that might just redefine your understanding of data's role in business.
Tune in for a podcast that not only uncovers the nuances of data reliability but also touches on the quirky side of tech, like why, according to Google, you should never use superglue to fix slipping cheese on your pizza.
Moments00:00 Monte Carlo: Data Reliability Innovator
05:45 "Data & AI Observability Engineering"
09:42 Data Industry's Growing Importance
12:00 Cereal Supply Chain Data Optimization
16:03 Data Observability and Lineage
19:29 GenAI Uncertainties and Latency Concerns
23:17 "Human Oversight in AI Accuracy"
24:12 Data Observability and Human Role
28:01 Adapting to Customer Language
33:29 Data and Security Management Alignment
35:20 Data Reliability and Observability Challenges
38:17 Automated Code Analysis Tool Launch
42:29 Data-Inspired Childhood
44:12 Passionate About Impactful Work
48:52 LinkedIn Security Concerns Highlighted
53:19 "Data Observability Insights"
In this episode, Sanjay joins Frank for a deep dive into the heart of digital transformation and AI-powered automation. Here are some of the key takeaways:
- Digital Transformation Evolution: Sanjay reflects on his nearly three-decade journey witnessing the digital shift from infancy to the AI-driven present. He outlines the critical components of digital transformation, including cloud adoption and data prioritization, noting significant changes in business focus over recent years.
- Microsoft's Role: Sanjay provides insights into Microsoft's strategic investments in digital transformation technologies, emphasizing their pivotal role in influencing market trends and industry-specific capabilities.
- AI-Powered Enhancements: From the widespread adoption of Copilot to the burgeoning concept of agentic AI, Sanjay discusses how AI tools are not replacing but augmenting the productivity of data engineers, offering a glimpse into the future of business processes.
- Edge of Innovation: We explore how Microsoft Fabric and other technologies are simplifying complex architectures, allowing businesses to leverage multi-cloud strategies effectively, keeping them at the forefront of innovation.
- Real-Life Impact: Sanjay shares compelling examples, like reducing sales briefing preparation time from four days to two minutes, showcasing the transformative power of AI in real business scenarios.
Whether you're a data engineer, business leader, or just someone fascinated by the data-driven world, this episode is packed with valuable insights.
Moments00:00 Three Decades of Digital Transformation
05:27 Microsoft's Digital Transformation Dominance
09:37 Microsoft's Cloud Integration Advantage
13:22 Red Hat AI's Open Source Approach
15:33 Microsoft Fabric's Multi-Cloud Integration Strategy
20:01 "Custom Solutions for Complex Queries"
21:39 Content Creation Efficiency Unlocked
26:38 Sales Role Dependency Reduction Tool
30:06 Agentic AI and Workflow Transformation
33:29 "Beyond Basic Automation"
35:05 AI's Impact on Business Expansion
39:58 Data-Driven Problem Solving Impact
41:58 Reading Trends in Data Innovation
In this episode, Andy Leonard and Frank La Vigne are thrilled to be joined by Trevor Schulze, the Chief Information Officer at Alteryx. Trevor brings an unparalleled perspective on digital transformation, drawing from his impressive tenure at industry giants such as Micron, Cisco, and RingCentral.
Time stamps00:00 "Data Driven: AI & CIO Insights"
04:32 CIO's Role in AI Evolution
06:50 CIO's Evolving Role with AI
11:43 "Embracing Data Democratization"
16:24 Democratizing Data Access
19:33 "AI Investment and Optimization Cycle"
20:55 AI Enhances Tool Configuration Guidance
24:42 Breaking Free from Vendor Lock-In
27:41 "Unleashing Shadow AI and Technical Debt"
31:53 Digital Performance Essential for All Industries
34:01 Data Privacy Concerns in AI Use
37:30 AI Democratization Challenges for Enterprises
42:15 AI Transforming Business Processes
43:55 Data-Driven Career Journey
47:13 "Building Trust in Data Analytics"
52:34 Building Trust in Future Tech
Andy Leonard and Frank La Vigne delve into the exciting world of AI and growth marketing with the renowned Lillian Pierson. Lillian, a globally recognized AI growth strategist and author. She shares her unique journey from engineering to data science and her role as a fractional CMO. She provides deep insights into leveraging AI to revolutionize marketing and growth strategies, discusses breaking down the barriers in early data science, and explores the rise of agentic AI.
This conversation is filled with valuable knowledge, humor, and a reality check on the evolving tech landscape. Tune in to explore how AI and data-driven approaches are transforming industries and why Data Driven is a top pick for AI enthusiasts.
Moments00:00 "Interview with AI Expert Lillian Pearson"
04:18 Earning a Professional Engineering License
09:21 Evolution of Data Science Disciplines
11:08 Career Pivot to Success
14:01 Data Strategy and AI Insights
19:19 Marketing's Role in Product Growth
21:58 Customer Advocacy in Product Development
26:16 Exploring AI for Content Automation
28:28 OpenAI Trained on My Style
30:51 Frank's Podcast Automation Expansion
33:22 "Delegation vs. Self-Management Discussion"
37:45 Decoupled, Resilient System Communication
41:57 Clay-Powered Decision Tech Critique
45:41 AI Is Essential in Business
49:09 Debating with ChatGPT's Perspectives
50:23 Google AI: Generative Podcast Tool
56:11 Big Data Fallacies Explored
Today, we've got an exciting episode lined up for you. Hosts Frank La Vigne and Bailey dive deep into the tech universe with Dean Guida, the CEO and founder of Infragistics. Dean brings his 35-year journey and expansive experience in technology to the table, reminiscing about the early days of software development and his transition into the data-driven world.
In this conversation, you'll hear about the evolution of Infragistics from building UI components for Windows to creating sophisticated data analytics and AI tools. Dean also shares insights from his new book, "When Grit is Not Enough," focusing on how entrepreneurs can foster agile, data-driven learning organizations. Whether you're a seasoned developer, a budding entrepreneur, or someone fascinated by the intersection of AI and data, this episode promises a wealth of knowledge and inspiration.
Join us as we explore technology old and new, from the bygone era of Windows 3.0 to the cutting-edge capabilities of AI today. Plus, hear Dean's personal journey of navigating through various technological and economic shifts over the decades. Make sure to tune in for a discussion that bridges the past, present, and future of tech innovation!
Show Notes00:00 35 Years of UI/UX Innovation
06:35 "Simplicity, Beauty, and Conversational AI"
15:29 Enhancing User Trust Through Transparency
19:52 AI-Driven Learning and OKR Management
26:20 Kids Reflecting Tech Evolution
27:12 "AI in Future Work Environments"
33:14 "Data-Driven Leadership and Team Alignment"
38:44 Entrepreneurship Beyond Grinding
48:19 Contextual Understanding in AI Assistants
51:57 Overprotected Generation's Communication Challenges
54:55 Generational Impact of Pandemics
01:00:47 "Data-Driven Podcast: Ranked 38"
Today, we delve into the intriguing world of vector databases, retrieval augmented generation, and a surprising twist—origami.
Our special guest, Arjun Patel, a developer advocate at Pinecone, will be walking us through his mission to make vector databases and semantic search more accessible. Alongside his impressive technical expertise, Arjun is also a self-taught origami artist with a background in statistics from the University of Chicago. Together with co-host Frank La Vigne, we explore Arjun’s unique journey from making speech coaching accessible with AI at Speeko to detecting AI-generated content at Appen.
In this episode, get ready to unravel the mysteries of natural language processing, understand the impact of the attention mechanism in transformers, and discover how AI can even assist in the art of paper folding. From discussing the nuances of RAG systems to sharing personal insights on learning and technology, we promise a session that’s both enlightening and entertaining. So sit back, relax, and get ready to fold your way into the fascinating layers of AI with Arjun Patel on Data Driven.
Show Notes00:00 Arjun Patel: Bridging AI & Education
04:39 Traditional NLP and Geometric Models
08:40 Co-occurrence and Meaning in Text
13:14 Masked Language Modeling Success
16:50 Understanding Tokenization in AI Models
18:12 "Understanding Large Language Models"
22:43 Instruction-Following vs Few-Shot Learning
26:43 "Rel AI: Open Source Data Tool"
31:14 "Retrieval-Augmented Generation Explained"
33:58 "Pinecone: Efficient Vector Database"
37:31 "AI Found Me: Intern to Innovator"
41:10 "Impact of Code Generation Models"
45:25 Personalized Learning Path Technology
46:57 Mathematical Complexity in Origami Design
50:32 "Data, AI, and Origami Insights"
In today's episode, we're thrilled to have Niv Braun, co-founder and CEO of Noma Security, join us as we tackle some pressing issues in AI security.
With the rapid adoption of generative AI technologies, the landscape of data security is evolving at breakneck speed. We'll explore the increasing need to secure systems that handle sensitive AI data and pipelines, the rise of AI security careers, and the looming threats of adversarial attacks, model "hallucinations," and more. Niv will share his insights on how companies like Noma Security are working tirelessly to mitigate these risks without hindering innovation.
We'll also dive into real-world incidents, such as compromised open-source models and the infamous PyTorch breach, to illustrate the critical need for improved security measures. From the importance of continuous monitoring to the development of safer formats and the adoption of a zero trust approach, this episode is packed with valuable advice for organizations navigating the complex world of AI security.
So, whether you're a data scientist, AI engineer, or simply an enthusiast eager to learn more about the intersection of AI and security, this episode promises to offer a wealth of information and practical tips to help you stay ahead in this rapidly changing field. Tune in and join the conversation as we uncover the state of AI security and what it means for the future of technology.
Quotable Moments00:00 Security spotlight shifts to data and AI.
03:36 Protect against misconfigurations, adversarial attacks, new risks.
09:17 Compromised model with undetectable data leaks.
12:07 Manual parsing needed for valid, malicious code detection.
15:44 Concerns over Agiface models may affect jobs.
20:00 Combines self-developed and third-party AI models.
20:55 Ensure models don't use sensitive or unauthorized data.
25:55 Zero Trust: mindset, philosophy, implementation, security framework.
30:51 LLM attacks will have significantly higher impact.
34:23 Need better security awareness, exposed secrets risk.
35:50 Be organized with visibility and governance.
39:51 Red teaming for AI security and safety.
44:33 Gen AI primarily used by consumers, not businesses.
47:57 Providing model guardrails and runtime protection services.
50:53 Ensure flexible, configurable architecture for varied needs.
52:35 AI, security, innovation discussed by Niamh Braun.
In this livestream, Frank and Andy discuss the timeless nature of backend enterprise tech, that, much like a Christmas special from decades ago, is still very much celebrated.
Moments00:00 Exploring SSIS future in a festive episode.
08:28 Data engineering evolved from business intelligence systems.
10:57 Social networks project before Facebook's popularity.
19:19 SSIS training informed data engineering concepts teaching.
24:56 Bill Gates moved project to immature Microsoft tooling.
29:10 Data engineering possible in 2024 using T-SQL.
35:23 Huge cloud companies surpass previous brick-and-mortar giants.
40:10 Old technologies endure; misconceptions about their age.
46:03 Evaluate change benefits: technical ease, business growth.
52:30 Cloud departure interests rise, SSIS assistance sought.
55:47 Big government agency utilizing diverse cloud platforms.
01:00:59 Security is crucial; clients' preferences vary.
01:08:56 Certification issues hinder software updates and compliance.
01:10:02 People stick with older systems for reasons.
01:15:15 Proper GPU driver drastically improved loading time.
01:22:16 Repost increased engagement and communication with author.
01:25:45 Data scientists should learn SQL for simplicity.
01:31:06 Obsolete systems cause issues without quotes.
Welcome to another episode of "Data Driven," where we dive into the ever-evolving world of data science, AI, and data engineering. Today's special guest is Inna Tokarev Sela, CEO and founder of Illumix. Join hosts Frank La Vigne, BAILeY, and Andy Leonard as they unpack Inna's groundbreaking insights into generative AI, the future of data management, and the intricacies of AI cost effectiveness.
Inna reveals the origin of her company's name, "Illumix," and discusses the pressing risks of 2025, particularly the total cost of ownership for managing generative AI. She highlights the inefficiencies of data customization and proposes a shift towards moving AI closer to the data to reduce costs. Through the unique lens of Illumix’s approach, Inna explains how they aim to illuminate organizational data by using a virtual semantic knowledge graph based on industry ontologies and business logic.
Timestamps00:00 Ina Tokarav Sala: CEO of Illumix, AI readiness pioneer.
05:57 ROI and data are crucial for decisions.
08:56 Intermediate stage: copilots, insights, static dashboards persist.
11:12 Illumax targets structured data market, unlike others.
14:29 Bad data skews predictive analytics, causing errors.
19:48 Data modeling efficiency increases with virtual assistants.
22:33 E-commerce evolution: convenient online shopping preferred.
25:27 2025's biggest risk: High generative AI costs.
27:07 Focus on domain knowledge and metadata utilization.
31:44 Predicting patterns is profound, not crazy.
36:09 Industry trends are cyclical, like fashion trends.
37:49 Repatriating data due to AI cost efficiency.
40:47 Data processing everywhere raises security concerns.
45:00 Founder freedom: Experimentation unlike SAP's structure.
49:11 I'm considered controversial for being very visionary.
52:29 Truth's evolution parallels past technological shifts.
54:39 Frank's World: Kids show on recycling, BBC.
57:09 Thank you, Ina Tokarev Saleh, for insights.
Joining hosts Frank La Vigne and Andy Leonard, Geoff shares insights on the intersection of AI and creativity, the evolving landscape of careers in the age of artificial intelligence, and the crucial balance between innovation and traditional storytelling. We'll delve into AI's role in enhancing emotional connections with audiences, its potential to disrupt traditional media and consultancy services, and the caution needed to maintain authenticity and human touch amidst technological advances.
From amusing anecdotes about AI challenges in creative tasks to profound reflections on storytelling, this episode is a treasure trove for anyone intrigued by how emerging technologies are reshaping the arts and beyond. Stay tuned for inspiring discussions, engaging stories, and actionable insights—right here on "Data Driven".
Let's get started!
Show NotesLinks* Geoff's LinkedIn https://www.linkedin.com/in/geoffthatcher/
Moments00:00 Jeff Thatcher revolutionizes experiences with AI innovations.
08:56 Storytelling is more important than technology investment.
13:38 Football field experience mimicking recruitment video reveal.
18:45 AI summaries risk losing creative inspiration.
22:21 AI enhances storytelling and client engagement passion.
31:49 Collaboration with LLMs enhances content drafting.
34:53 We integrated AI and illustrator for Christmas card.
43:03 AI empowers creativity, challenges traditional gatekeepers.
44:44 Simplicity aids decision-making; avoid complicating stories.
51:19 Slow drive through town renewed my soul.
56:26 Created AI color library to match teams.
01:01:30 Creativity requires discipline, connections, and stimulus.
Frank La Vigne sits down with Alex Gold, Head of Solutions Engineering at POSIT and author of "DevOps for Data Science."
Together, they explore the fascinating intersections of DevOps, MLOps, and generative AI, shedding light on the importance of social norms, innovation, and practical impact in open-source development.
Show NotesLinks* DevOps for Data Science (Online Version) https://do4ds.com * DevOps for Data Science (Amazon)
Moments02:14 Marylander love their state flag
06:09 PBC prioritizes diverse responsibilities beyond shareholder value.
08:17 Chose Python for its versatility across fields.
12:15 Choose the right language for each pipeline stage.
16:14 Deploying software for enterprise use requires oversight.
19:26 Most data scientists rarely focus on machine learning.
23:18 Machine learning misunderstood; majority use simple models.
26:46 Generative AI in big companies, production challenges.
28:30 DevOps for data science needs unique practices.
31:28 Focus on quick wins for business value.
34:05 Focus on relationships; people problems require empathy.
37:17 Technical people focus on solving technical problems.
42:53 Companies exploring gen AI strategies, co-pilot model prioritized.
45:01 Exploring gen AI for effective customer data use.
49:32 Progress continues despite leveling off in horsepower.
52:40 AI needs deeper integration for life-changing impact.
55:39 Upload content; create NPR-style podcast summary.
58:38 Thanks for tuning in! Stay data driven.
Today, Frank and Andy are joined by David Hirschfeld, CEO and founder of Tekyz Corporation, a firm specializing in helping startups and saving troubled projects with his unique "Launch First" methodology.
David brings us into his world of startups, where, believe it or not, he advocates for getting customers before you even build the product! He explains how Launch First combines high-fidelity prototypes, niche targeting, and a lean, marketing-first approach to de-risk software launches and prove real demand.
Whether you’re an engineer turned entrepreneur, or just curious about the art and science of startups, buckle up for an enlightening episode with insights on maximizing impact and proving product-market fit with speed and precision. Let’s dive in!
Show NotesLinksMoments00:00 Launch First: Get customers before building product.
06:00 Market first, then build software; analyze niche.
07:04 Create marketing stack, offer lifetime license, guarantee refund.
10:30 Offer lifetime licenses for upfront subscription payments.
16:39 Identify top niche problems and assess impact.
19:29 Paying customers prove genuine interest and commitment.
23:34 Accidentally created first Windows software for industry.
25:52 Failed to monetize social media product, Klooj.
30:28 Red Hat's AI boosts chatbot data efficiency.
33:05 Exceptional teams produce highly detailed, compliant documentation.
34:52 Responsibility depends on knowledge and access.
40:29 Track time daily, categorize by client, invoice monthly.
42:37 Handoff documentation to Google; received positive feedback.
45:59 Impressed, thought price was reasonable, despite expectations.
48:11 Combining disciplines multiplies value exponentially.
51:56 David Hirschfeld discusses startup success strategies.
Today, we have a special treat for you as we welcome Candice Gillhooley, a dynamic force known for blending technical prowess with marketing brilliance. In this episode, we'll explore Candice's groundbreaking approach to "sentient marketing," dive into the interplay between AI and targeted audience communication, and discuss the importance of understanding behavioral data to craft unforgettable marketing experiences. So, sit back, relax, and get ready for an episode that's sure to spark new ideas and inspire innovation.
Show NotesLinks* Buy the book on Amazon: https://qrcodes.at/SentientMarketingBook * https://sentientmarketingbook.com/ * Candace's LinkedIn Profile https://www.linkedin.com/in/candacegillhoolley/
Moments00:00 Podcast explores data science, AI, engineering trends.
05:05 Ancient harvest tradition, winter preparation, birthdays coinciding.
06:46 Target audience insights through effective data utilization.
13:17 Enjoys startup vibes, marketing tech innovations.
15:36 Data-driven marketing is essential for organizational success.
20:27 Martha Stewart's over-the-top American Express commercial.
22:22 Impressed by her reinvention despite past challenges.
26:31 Glimmers evoke deep, happy memories and connections.
29:37 Advertising targets varied generations differently nowadays.
32:32 Tech changes: fascinating generational shifts, CD nostalgia.
36:11 SQL Server generations discussed at SQL Saturday.
39:47 Marketing tech evolves rapidly; cloud frenzy over.
41:52 Hybrid cloud trend emerged after market saturation.
44:33 Enjoying feedback from Andy about my work.
49:28 Personality divergence; traditionalism conflicts with change.
50:48 Neurodiverse individuals face job dissatisfaction challenges.
54:55 Discussed AI-driven marketing with Candice Gillhooley.
Andy Leonard and Frank La Vigne are joined by experts Baruch Lev and Feng Gu to uncover the complexities and pitfalls of mergers and acquisitions. We'll discuss the controversial "killer acquisitions" in the pharmaceutical industry, which regulators fear stifle innovation and harm public health.
Our guests will share insights from their upcoming book, "The M&A Failure Trap," which critiques current acquisition strategies and introduces a unique 10-factor scorecard for assessing potential success. From data analysis on 40,000 mergers over 40 years to the challenges and market trends affecting merger outcomes, we’ll explore why up to 75% of mergers fail and how decision-makers often benefit at the expense of employees and shareholders.
Whether you're an entrepreneur looking to navigate M&As or a data enthusiast curious about the numbers behind these strategic moves, this episode offers a data-driven look at the forces shaping mergers and their real-world impacts.
Show NotesThe M&A Trap Book Link (no affiliate) https://www.amazon.com/Failure-Trap-Mergers-Acquisitions-Succeed/dp/1394204760
Highlights00:00 Exploring data science, AI, mergers with experts.
04:43 Extensive data-driven analysis of mergers' failures.
09:22 Investment bankers pressure companies to finalize acquisitions.
11:15 Managers get bonuses for concluding acquisition deals.
14:26 Global economy affected; star performers leave.
17:32 Mergers often lead to employee departures, layoffs.
20:24 Managed data engineering team during Unisys acquisition.
26:28 Analogies highlight misapplication of causal thinking.
28:58 Complex model reveals hidden variable impact.
31:01 Correlation can mislead; avoid single-focus traps.
37:14 Comprehensive analysis of acquisitions and their impacts.
38:39 Analyzed LinkedIn data on employee turnover trends.
41:50 Creative metric developed for private acquisition premium.
46:01 Acquisitions are widespread, impacting various industries significantly.
52:11 Unique 10-factor acquisition scorecard predicts success.
55:45 Deep dive into mergers and acquisitions data.
Speaker BiosBaruch Lev is a professor emeritus at NYU Stern School of Business, where he has taught and conducted research on mergers and acquisitions for decades. He worked formerly at UC Berkeley and the University of Chicago. His work has been widely cited in academic and professional circles (over 63,000 Google Scholar citations), and he is a leading authority on corporate finance and valuation.
Feng Gu is a professor of accounting at the University at Buffalo and has extensive experience in analyzing the financial aspects of corporate acquisitions. His research focuses on the economic consequences of corporate decisions and has been published in top-tier academic journals.
Andy Leonard, and Frank La Vigne are joined by the innovative Artem Rodichof, CEO of Xhuman. Today's discussion delves into the transformative world of empathetic AI and its potential to reshape our interactions with technology and each other. Artem shares insights from his groundbreaking platform, which creates custom AI personalities that can turn various media forms into interactive, human-like experiences.
We'll explore the intersection of gaming and AI, discuss the ethical implications of deep emotional connections with chatbots, and consider how AI-driven interactions might alleviate loneliness and enhance human communication. Balancing technical details with ethical considerations, this episode underscores the dynamic role of AI in our digital future. So, stay tuned as we navigate the evolving landscape of AI-integrated worlds and the profound impact of empathetic technologies.
Show NotesHighlights03:24 Introducing Artem Rodichoff, CEO of Xhuman.
07:49 Eugenia trained chatbot on deceased friend's personality.
10:21 AI bots mimic empathetic, encouraging coworker interactions.
13:35 User feedback improves conversation quality over time.
19:12 Characters as community managers, NPCs powered by AI.
22:08 Gen AI raised technology interactivity expectations significantly.
25:45 Future device interactions through natural language.
27:49 Devices now resemble Star Trek's interactive computers.
33:36 Do chatbot conversations increase Gen Z loneliness?
34:46 Chatbots improve communication skills and social interactions.
41:07 Banned romantic chats impact lonely users deeply.
41:57 AI relationship changes can impact mental health.
47:20 Applaud effort; solving black swans is tough.
50:48 Social media amplifies our worst traits.
51:58 Addressing loneliness is crucial for well-being.
56:17 Exploring empathetic AI's future with Artem Rodichorff.
Links* Artem's LinkedIn https://www.linkedin.com/in/art-rodichev/ * Ex-Human's Website https://exh.ai
In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and small language models (LLMs and SLMs) and highlights Doug's innovative use of PowerShell to create autonomous agents.
Doug shares fascinating insights on prompt engineering, the evolution of AI models, and the potential of personal AI as the next technological inflection point. Despite facing resistance from critics and the tech community, Doug remains a staunch advocate for leveraging cutting-edge tools and maintaining an unscripted, adaptive approach to technology.
Show NotesTime Stamps07:32 Discovering GPT chat and its incredible capabilities.
14:25 Expect announcement at OpenAI Day in November.
19:41 Initial confusion, but eventually realized cross-platform potential.
25:31 Colleague makes fun of me, but impressed.
30:07 Experience of being a non-traditional engineer.
35:10 Prefer using PowerShell over Python for coding.
40:36 Discussing hallucination problem and algorithms in AI.
43:19 Using AI to generate better function names.
47:46 "Creating forms quickly with impressive results."
54:58 Recall story of new guy at whiskey distillery.
01:01:06 Microsoft focuses on smaller, efficient language models.
01:08:12 Data-driven podcast explores PowerShell and AI's fusion.
Links* PSAI (PowerShell AI module): https://github.com/dfinke/PSAI * PSWeave (PowerShell module bringing OpenAI's GPT): https://github.com/dfinke/PSWeave * ImportExcel (PowerShell module to import/export Excel spreadsheets): https://github.com/dfinke/ImportExcel * New York PowerShell Meetup: Meetup https://www.meetup.com/nycpowershellmeetup/
In this episode, we delve into Frank’s new role at Red Hat, where he’s pioneering advancements with Rel AI, an innovative tool for training large language models. Andy shares his latest adventures in Microsoft Fabric training, reflecting on the rapid pace of tech evolution.
Along with tech talk, they touch on personal milestones, such as parenting and life’s significant changes. So, grab your favorite drink, sit back, and join us for an insightful conversation filled with tech trends, personal stories, and a touch of nostalgia. It's an episode you won't want to miss!
Show Notes04:08 Limited college course options, but important financially.
09:16 Fabric data factory training, following SSIS, Azure.
10:08 Teams doing diverse work to improve services.
13:14 Adoption drama resulted in life-changing impact.
16:50 Functionality in Office 365 for family use.
21:56 Data-driven podcast episode ends with call-to-action.
Today, we're shifting gears as Frank La Vigne returns from his adventures in the Smoky Mountains.
From paternity leave to tackling poor internet connectivity, Frank sheds light on the precarious nature of our reliance on cloud services. Join us as we explore the challenges of staying connected in remote areas, ponder the implications for the future of AI, and reflect on the importance of data resilience.
Buckle up for an episode that's as much about life's unexpected detours as it is about the data revolution. Let's get data driven!
Time Stamps03:47 Balcony had best signal, but still slow.
08:44 Moving to technical marketing; Red Hat Summit.
09:40 Influence of living in DC on perception.
13:23 Limited internet access creates absurd and inefficient situations.
16:37 The world faces significant danger in cyberspace.
21:39 Concerns about building systems dependent on OpenAI.
24:18 Grateful for internet, signing off, podcast-ready
In this episode, we explore real-world cases that showcase the susceptibility of AI chatbots to manipulation, as illustrated by a shocking incident where an AI was manipulated to sell a Chevy truck for just $1. Kevin Latchford sheds light on the dual-use knowledge risks and the potential for unauthorized leaks and malicious backdoors within AI plugins.
Frank and Kevin dive into the implications of quick technological adoption, drawing parallels to the early web era. We discuss the impact of network setups, access controls, data supply chain integrity, and the ongoing investigations into the security implications of these burgeoning technologies. This episode is packed with expert insights and practical advice on navigating the complex world of AI security.
Show Notes05:04 Public space tech meant to have safeguards.
09:39 Security issue in enterprise AI adoption concern.
12:53 Understanding security implications is crucial for mitigation.
16:40 Chatbot manipulated to sell Chevy truck for $1.
17:57 Found something during cybersecurity exercise, not sharing.
21:11 Uncertainty about security in remote interfacing.
24:00 Utilize specialized LLM to analyze prompts precisely.
29:15 Understanding cybersecurity first is key to AI.
32:32 Implement outbound stateful connection to prevent automatic calls.
34:31 IT field is interesting with its vulnerabilities.
37:15 Data-driven podcast highlights AI security vulnerabilities. Stay vigilant.
About the SpeakerKevin Latchford is an esteemed expert in the cybersecurity realm, renowned for his comprehensive understanding and proficiency in both offensive and defensive strategies. Drawing from concepts rooted in military practice, Kevin adeptly navigates the intricate dynamics of red teaming and blue teaming. As an advocate for offensive cybersecurity, red teaming, also known as opposing force operations, he challenges the vulnerabilities within systems to enhance their integrity. Conversely, his expertise in blue teaming, the defensive counterpart, focuses on shielding and fortifying friendlies. Through his dedicated efforts, Kevin ensures the confidentiality, integrity, and accessibility of computer networks and systems, whether they are natively hosted or web-based, culminating in fortified cyber defenses and resilient information security.
In this episode, we explore linguistic and cultural influences on language with Dr. Yossi Keshet—a renowned expert in automated speech recognition.
We cover the intricacies of jargon, code-switching, and the ethical dimensions of artificial intelligence.
Listen to discover how the convergence of linguistics and computer science is revolutionizing our interaction with technology.
Show Notes05:26 YOLA targets foundational industries through AI.
07:34 Automatic speech recognition similar to KJGPT model.
11:17 American English research bias in speech intelligibility.
13:33 Studying foreign languages improved understanding of grammar.
18:35 Passionate about linguistics and cognitive sciences. No AI has this capability.
20:23 Phenomenal correlation between artificial and neural mechanisms.
26:24 Innovating transcription: improving on old industry practices.
27:35 GPT's influence on various fundamental industries.
31:56 Using multiple languages can enhance comprehension.
35:07 Switching between languages in code-switching research.
40:47 Superego: Freud's guilt and fear mechanism. Evolutionary.
42:11 Book writing claiming need for non-standard regulations.
46:46 AI movie plot illustrates ethics in robotics.
50:25 GPT discussion focuses on personalized and helpful interaction.
53:20 End of insightful data-driven episode, future technology.
In this exciting episode, Frank La Vigne and Andy Leonard sit down with Aviad Harell, managing partner at Team 8, to explore the transformative power of technology in today's business landscape.
Aviad shares his mission to eliminate day-to-day bureaucracy and leverages technology to automate processes, drawing from his vast experience in the tech industry. Beyond business, Aviad reveals his passion for traveling in South America and his book recommendation, "The Mom Test," which acts as a guide for proper idea validation.
As the conversation unfolds, we explore how venture capital has evolved from a hobby to a disciplined, professional field, much like the maturity models in software development. Aviad details Team 8's innovative approach to venture capital, partnering with founders early in their journey, sometimes before even fully forming ideas. This unique model includes building a robust support system of 85 professionals to ensure the success of the startups they invest in.
Discover the importance of critical thinking, loving the problem more than the solution, and the journey from idea to execution.
Hear Aviad's insights on why execution is more crucial than the original idea and his belief in adaptability, quoting the famous military adage, "No idea survives contact with reality."
Show Notes04:56 Founders seek validation, partners provide early support.
07:57 Teammate model founded on deep cybersecurity understanding.
10:51 Query about venture capitalist process's modernization and perception.
15:28 Entrepreneurship challenges led to significant personal growth.
19:07 Unintended tech consequences changing finance and daily lives.
22:47 Interested in different applications of agile methodologies.
27:22 Fascinating insights into approaching venture capitalists today.
30:31 Passion for skill, idea improvement, crucial teamwork.
31:23 Seek advice, consider other ideas, and collaborate.
36:26 Entrepreneur becomes angel investor, supports Tel Aviv.
37:52 Considered new company, resisted VC, became investor.
43:58 Automating bureaucracy, taxes, and legal document review.
47:53 Focus on problem, not solution; meaningful feedback.
50:38 Data-driven episode with Aviad Harrell from Team 8.
In this episode, Frank La Vigne and Andy Leonard dive deep into the world of developer advocacy and data observability with special guest Chris Cooney from CoreLogix. From discussing the evolution of Microsoft Evangelism to the intricacies of data retention and real-time decision-making, this conversation covers a wide range of topics, including the impact of AI technology, the importance of community in software engineering, and the challenges of connecting with engineers at trade shows.
Join us as we explore the intersection of technology, advocacy, and data engineering in this insightful episode featuring Chris Cooney on "Data Driven".
New Season Means a New Theme SongLet us know what you think! Don't worry, we will use a shortened version for future shows. We were just so excited to get to Season 8!
Show Notes03:54 Experienced engineer transitioned into leadership in technology.
07:40 Dan delivers insightful speech on tracking activity.
12:33 Developers must adapt to new technology continually.
13:45 Conference talk success measured by engagement metrics.
17:15 Uncertainty about outcome of video creation.
20:00 The trend in the field is evolving.
25:45 Retain all data, use case-driven storage. Avoid rehydration.
27:11 Core principles: smart data science, streaming architecture.
32:34 Efficient streaming processes allow for easy scaling.
36:16 Instantly triggered alarm blocks malicious IP addresses.
37:22 Enormous architecture demonstrates remarkable data management practice.
42:13 Struggle with learning Arabic dialect using AI.
44:41 Language differences reflect cultural and historical influences.
47:55 Regularly listens to audiobooks, recommends "Team Topologies" and "Team of Teams."
51:32 Data-driven podcast season 8 debut summary prompt.
In today’s episode of the Data Driven podcast, we delve into the intricate dance of the human brain with uncertainty, guided by the insightful and optimistic Dr. Julia DiGangi. Dr. DiGangi’s work transcends traditional academic boundaries, focusing on the neuropsychological underpinnings that shape our responses to the ever-shifting sands of our times.
With a blend of deep scientific knowledge and a hopeful outlook, she sheds light on how understanding our brain's mechanics can enhance our navigation through life's complexities. Join us as Dr. DiGangi illuminates the pathways of our cognitive landscapes, offering clarity and guidance through the fog of uncertainty.
Show Notes00:00 Neuropsychologist studies brain domains, human vs. machines.
05:06 Technology layoffs causing career uncertainty, sparking concern.
08:54 Brain is allergic to uncertainty, scientific study.
10:24 People choose painful shocks over uncertainty in lab.
15:44 Lead life wisely, brain is most powerful.
19:21 Jordan Belfort, inspiration for Wolf of Wall Street.
20:09 Theory powerful across contexts, emotional intelligence vs. artificial intelligence.
25:30 Leadership is about influential emotional signals.
29:22 Emotion sets human consciousness energy, fixing pain.
31:43 Questioning our connection to somatic intelligence.
35:26 Questions about recovery, healing, and enduring patterns.
38:22 Challenges are inevitable, despite our circumstances.
42:38 Emotions are a richer carrier of meaning.
44:07 Transition from academic to public mental health advocacy.
46:30 Talk therapy integrates thinking and emotions in the brain.
52:17 Tired of politics, focused on substance and policy.
55:45 Engaging podcast featuring AI and human mind.
In this landmark 360th episode of Data Driven, we take a full-circle journey back through the past seven seasons, exploring the highs, lows, and everything in-between. Frank and Andy, in their signature style, veer off the beaten path, offering listeners not just a trip down memory lane, but an off-road adventure filled with insights, laughter, and a few unexpected detours.
Join us as we reflect on where we’ve been and, more importantly, where we’re headed next in the ever-evolving landscape of data and technology. It’s an episode you won’t want to miss, complete with the wisdom and whimsy that only Frank and Andy can provide.
Moments00:00 Simpsons celebrates 360 episodes, announces new shows.
06:48 Struggling with impostor syndrome, sibling dynamics, and survival.
14:37 Experiments with AI feedback, brief show intros.
20:19 Challenging start, surprised by success in audio.
25:17 Uneven distribution; learned from former Microsoft colleague.
29:47 Struggle with communication, engineer writes terse responses.
35:47 Detective describes transit system in detail.
38:25 Relieved when Amazon took over sci-fi series.
43:28 Discussing latest blog post on OpenAI's capabilities.
52:15 Obfuscation and difficulty in accessing information persist.
56:41 Equal time for Democrats and Republicans in media.
01:02:36 December is a mad time due to birthdays.
01:05:06 Originally planned as a video podcast, logistics issues.
01:09:44 360-degree journey concludes with data-driven discussions.
In this episode Frank and Andy welcome Jennifer Swanson explains how businesses can reinvent themselves for the data driven age of AI.
From recognizing the importance of defining clear strategies and outcomes to the struggles of change management, Jennifer reveals that the heart of digital transformation lies in aligning individuals to the company's objectives, and significantly, that it's less about the technology itself and more about the people and processes.
Whether you're a leader in your organization, part of a cross-functional team, or simply intrigued by the intersections of technology and business, this episode is a rich exploration of what it really means to be digitally transformed.
Show Notes05:31 Technology now integral to every business operation.
07:07 Offline businesses integrating technology for improved experience.
10:04 First wave of digital transformation: applying technology.
14:09 Data governance key to organization's predictable success.
16:54 Organizational governance ensures strategy, priorities, and outcomes.
21:47 Training, support, and focus key for empowerment.
25:57 Selecting narrow slices drives model implementation success.
28:49 "Positive experiences with scrum and DevOps"
32:22 Leadership defines market, customer, and problems.
36:12 In cross functional teams, sticking to lanes.
38:53 Embrace collaboration and diplomacy for success.
40:26 Smart professionals promoted to leadership roles, questioning suitability.
44:15 Found work through family influence and adaptability.
47:23 Experimenting with tech is now very accessible.
50:28 Family loves Audible, enjoys romance novel series.
55:23 Jennifer, thanks for the great digital transformation explanation.
In this episode, Danny Maloney is going to lead you on a journey to explore how artificial intelligence is not just a fleeting novelty but a tool of immense utility that's changing the playing field for individuals and small businesses alike. Danny brings his passion for algorithmic innovation from his experiences as a data-loving youth to his leadership role at Tailwind, where they leverage AI to level the marketing playing field for small businesses.
Show Notes06:16 Early days of prevalent AI models, feedback loop.
08:37 Small businesses struggle with limited resources for marketing.
12:31 AI guides marketing decisions for faster success.
16:34 AI leader initiating internal discussions on AI's impact.
19:18 Experts experimenting, varying responses to AI capabilities.
23:43 Early phase of tech development and impact.
26:35 Tool Dingo ported from C# to Python.
29:47 Making prompt engineering unnecessary for average users.
31:39 Requested a specific image prompt and tested.
35:03 OpenAI developing GPT-5, creating internet frenzy.
38:58 Helping users personalize and develop voice technology.
43:24 Retro tech culture and its work ethic.
45:47 Chat GPT upsets media writers, AI creativity.
48:57 Digital journey ends with gratitude and encouragement.
Welcome to show 357 of the Data Driven podcast! This week, we welcome Luke Diaz to the show.
Luke has an impressive track record of scaling startups to staggering annual recurring revenues, and today, he's here to shed light on the pivotal role of customer success in growing a business. We'll dive deep into the intricacies of customer success management, its impact on subscription models, and the measurements that underpin it. Luke also shares personal insights into his daily habit tracking and the data-driven approach to setting quarterly goals.
But that's not all – Luke opens up about his journey from being a hedge fund manager to making a name in the software industry, cultivating unyielding ambition, and the significance of customer feedback in lieu of venture capital insights.
Show Moments05:27 Marketing function has evolved, delivering value.
09:15 Companies need high retention to be successful.
13:34 Emphasizing the challenge of defining success in startups.
17:07 Analyze customer success, product strength, usage frequency.
20:01 Companies hesitant to invest in customer success.
24:38 VC interviews, cautionary tales, and relationship importance.
26:12 Caution to look at numbers in term sheets.
32:32 Entrepreneur achieves $100 million sale in 7 years.
34:13 Machine learning hype outweighs business value currently.
36:40 CSMs can upload public filings to chat GPT 4 for efficient reading.
39:47 Screenshots are simple, stable, and pervasively used.
43:34 Star Trek technology influencing modern innovations.
48:10 Recent recommended books on leadership and strategy.
50:22 Thank you to guest Luke Diaz, feedback appreciated.
Today, we're thrilled to welcome a special guest, Jeremy Utley, an academic marvel from Stanford, whose work on AI and idea flows is altering the landscape of business and innovation. In this episode, titled “Jeremy Utley on Getting the Most out of LLMs”, we dive into Jeremy's FIXIT approach for leveraging Large Language Models (LLMs) such as ChatGPT.
Jeremy will unpack the nuances of FIXIT, showing us the importance of providing context, iterative interaction, and team incubation while using AI. We'll reminisce about how technology has evolved from cell phone minutes to AI, which is becoming as ubiquitous as smartphones once were.
Frank will voice concerns about the technical aspects, like token length, while agreeing with Jeremy's method. We'll examine why AI needs to be seen as a collaborative partner rather than a magical solution. Jeremy will shine a light on his book "IdeaFlow" and share his insights on the psychological barriers hindering the effective use of AI in practice.
Expect to hear anecdotal wisdom about the transformative impact of ChatGPT, the importance of prompt engineering, and the potential of AI to refine negotiation skills. Jeremy will even offer examples of how generative AI can offer fresh perspectives on personal and emotional decisions.
Don’t forget Frank’s experiments with creating custom GPTs, such as for our character Bailey. Our lively discussion promises to leave you with a wealth of knowledge on interacting with and extracting maximum value from AI.
For all this and much more, stay tuned in as we journey through the possibilities and realities of AI as a tool for amplifying human capacity.
And before we kick things off, a quick reminder to check out Audible for the best in audiobooks, and please take a moment to rate and review Data Driven to help us grow and bring you content you love.
Now, without further ado, let's get data driven.
Show Notes00:00 "Idea flows: the only business metric that matters."
05:35 Striving for the best is essential.
06:46 Expert hesitations on using AI for knowledge.
11:27 Asking for help, ended up with an image.
14:41 Convince family to take job offer role-play.
16:08 Learning new skills and fostering imagination through technology.
19:54 Seek understanding from personal experiences and examples.
25:48 Keanu Reeves movie sparks philosophical wonder.
28:42 AI prompts emotional epiphanies for life decisions.
32:11 Accidental query on creating GPU prompts explanations.
36:08 Instructions for using voice mode during coaching.
39:50 Ease of use and utility in busy life.
43:18 Key to AI success: Team collaboration is essential.
47:07 Kids don't care about data plans.
50:45 Released groundbreaking technology; implications for all industries.
53:18 Excited to buy internet access for chat.
54:54 Jeremy Utley wows with innovation and wisdom.
In this episode, we delve into the profound enablement of large language models like ChatCPT and how they stand to revolutionize personalized learning. Rene gives us a glimpse of a future where robots and AI can liberate us from mundane chores and reshape the workforce, as seen with robots now flipping burgers at McDonald's.
Imagine the world of quantum computing, where current strategies are reimagined to solve gargantuan optimization problems, a realm of technological advancement that Rene is no stranger to, and one which he assures holds the keys to the future, especially with security.
The conversation takes a personal turn as Rene reflects on his origins in former East Germany and how peaceful protests carved the path to a united nation and consequently, his journey into AI.
Show Notes06:05 Digital humans are embodied AI in a digital realm, replicating human appearance and emotion.
09:51 AI approximating language and emotions' impact debated.
13:14 Warning about irresponsible use of deepfake technology.
16:06 Rapid evolution of bank heist and technology.
19:20 Create 3D scenes from mine interior.
21:43 Excitement for AI courses evolving into practical use.
26:42 Labeling dangerous AI, balancing regulation and innovation.
28:12 Automation impacts taxes, privacy, and human creativity.
32:11 Language models can help, but verify outcomes.
36:54 Tech companies develop own silicon for efficiency.
38:09 Excitement over open weight AI models release.
42:40 War and pandemic showed weak supply chains.
46:26 Quantum computing holds untapped potential, significant savings.
47:54 Data encryption is essential for online security.
52:05 GPT chat provides effective personal information summaries.
55:55 Audible sponsors podcast; free audio book offer.
58:23 Digital podcast journey with Rene Scholter. Subscribe!
In this episode, our Andy Leonard and Frank La Vigne sit down with Ronen Dar, the co-founder and CTO of Run AI, to explore the world of artificial intelligence and GPU orchestration for machine learning models.
Ronen shares insights into the challenges of utilizing GPUs in AI research and how Run AI's platform addresses these issues by optimizing GPU usage and providing tools for easier and faster model training and deployment. The conversation delves into the concept of fractional GPU usage, allowing multiple workloads to run on a single GPU, making expensive GPUs more accessible and cost-effective for organizations.
Links* Run AI https://www.run.ai/ * Acquired Podcast Episode on Nvidia https://www.acquired.fm/episodes/nvidia-the-machine-learning-company-2006-2022
Show Notes04:40 GPU technology enabled for cloud AI workloads.
07:00 RunAI enables sharing expensive GPU resources for all.
11:59 As enterprise AI matures, organizations become more savvy.
15:35 Deep learning, GPUs for speed, CPUs backup.
16:54 LLMs running on GPU's, exploding in market.
23:29 NVIDIA created CUDA to simplify GPU use.
26:21 NVIDIA's success lies in accessible technology.
28:25 Solve GPU hugging with quotas and sharing.
31:15 Team lead manages GPU quotas for researchers.
35:51 Rapid changes in business and innovation.
40:34 Passionate problem-solver with diverse tech background.
43:38 Thanks for tuning in, subscribe and review.
In this episode, Frank sits down and talks with Devvret Rishi on powering real-world AI projects with declarative ML and the importance of open source.
Andy was not able to attend this recording, but will be back next week!
Show Notes04:36 Build, train, serve, deploy; critical data engineering link.
07:24 Model configuration for input output prediction summaries.
11:05 Saw spike and heavy churn after rollout.
16:21 Advancements in AI: use pre-trained deep learning models.
19:38 Trends for Gen AI: creative use cases, specialized APIs.
21:31 Questioning a sales tactic and legal concerns.
25:58 People can introspect, edit, and change models.
30:02 Early data science projects led to passion.
31:24 Cybersecurity and AI partnership driving industry innovation.
33:58 Understanding randomness as a valuable model feature.
39:39 Technology provides accessible, shared experiences in AI.
41:51 Technology as a companion for psychological support.
44:06 Immigration experience from India to Silicon Valley.
47:59 Unexpected culture shock from Bay Area to Boston.
50:40 Easily learn with hands-on prediabase.com access.
Speaker BioDevvret Rishi is a co-founder of Prediabase, a platform that helps engineers and developers productionize open source AI. The idea for Prediabase came from Rishi's co-founder Piero's experience at Uber, where he noticed that he was constantly reinventing the wheel with each new machine learning project. To streamline the process, he created a tool called Ludwig, which eventually became popular at Uber and was open sourced. Rishi's work with Prediabase has revolutionized the way AI is developed and implemented in engineering teams around the world.
In this episode, the Frank and Andy are joined by special guest Blake Reichenbach, a product manager at HubSpot and the owner of Howdy Curiosity, an online nonfiction bookstore and learning community. The conversation dives into the intersection of data, AI, and the love of books, as they discuss the next steps in managing and mitigating the hallucination part of AI technology, the importance of human interaction with AI tools, and finding the right balance in user experience. Blake shares his insights on integrating AI into HubSpot's platform, emphasizing the need for a balanced approach, and the pitfalls of solely relying on generative AI tools in marketing.
Stay tuned as they also touch on personal matters, career transitions, and the rapid evolution of technology. This episode is packed with valuable insights and engaging conversations - you won't want to miss it!
Show Notes00:00 HubSpot is a leading CRM platform.
05:44 New AI features for CMS and websites.
09:33 Gen AI tools need to prioritize meaningful data.
11:34 Summary: Suggesting blending human and AI for success.
15:34 ML models need precise training on nuanced datasets.
17:13 Content marketing: human connection, AI balance, user experience.
21:24 Approach content marketing like a multi-bandit test.
26:56 Selling nonfiction books online and sharing recommendations.
27:54 Rapid tech evolution creating excitement and challenges.
30:56 Balancing work and entrepreneurship for personal growth.
35:24 Thanks Frank, Andy, and Blake for amazing show.
Speaker BioBlake Reichenbach is a proud employee of HubSpot, a leading customer relationship management platform for scaling companies. With a focus on the CMS aspect of the platform, Blake is passionate about helping businesses with their front office needs, including marketing, sales, service, and data operations. With a bias towards HubSpot, Blake believes in the product and the company, and recommends it highly for businesses looking to streamline their operations.
In today's episode, the hosts Frank La Vigne and Andy Leonard are joined by the expert in location data and machine learning, Max Sklar. Max shares insights from his decade-long tenure at Foursquare, delving into the company's evolution, gamification features, the challenges faced in the local search space, and his early interest in location data.
The conversation explores the enduring relevance of foundational tech concepts, the cyclical nature of technology trends, and Max's personal journey into data and machine learning. Max also discusses his podcast, "The Local Maximum," and his diverse interests, including abstract math papers and a project rewriting the US Constitution. Join us as we dive into a thought-provoking discussion about AI, data science, and the ever-evolving world of technology with Max Sklar.
Show Notes00:00 Foursquare split, confused but loved the concept.
04:29 Rewards program failed due to lack of scalability.
08:44 Early career in New York City's tech boom.
13:05 Foursquare uses phone data to track locations.
16:25 Models analyzed data to improve sentiment analysis.
20:02 Data pipeline technology used for real-time deployment.
20:54 Python written code, comparing different languages used.
24:17 Navigating reinvention in a changing world.
29:38 Joined wireless generation, now known as Amplify, as a software engineer.
31:53 Machine learning brings data to life.
34:26 Using OpenAI API to create interactive content.
40:03 Technology enables limitless creativity and storytelling potential.
42:12 Enjoys volunteering in underserved communities around the world.
44:36 Extensive library and website featuring various projects.
47:48 Please subscribe, rate, and review our podcast.
In this episode of Data Driven, our Andy Leonard and Frank La Vigne are joined by Chris McDermott, VP of Engineering at Wallaroo.AI. Together, they explore the challenges and advancements in the ever-evolving world of machine learning and artificial intelligence.
From the importance of ongoing care for machine learning models to the rise of edge computing and decentralized networks, they touch on the critical need for flexibility and data privacy. Chris shares his insights on the technical challenges of AI and ML adoption, as well as his unique career journey. They also discuss the evolution of technology and the potential future impact of these innovations.
Join us for a deep dive into the world of AI, technology, and the future of machine learning with Chris McDermott on this episode of Data Driven.
Show Notes00:00 Exploring AI, data science, and data engineering.
06:20 Training and inferring are different stages.
08:12 Legacy AI doesn't require neural networks or GPUs.
12:09 Machine learning models require consistent care and monitoring.
15:10 MLOps merges skills, breaks down silos, collaborates.
16:47 Prefer MLOps to avoid namespace collision. DevOps parallels original Star Wars plot.
20:27 Internet-scale operations require automation and resilience.
24:13 Challenges of integrating AI into business processes.
28:03 New push for edge computing in technology industry.
32:05 Edge technology critical, discussed in government tech symposium.
34:50 Navigating from SendGrid to Twilio simplified processes.
36:15 First foray into data, growing knowledge.
39:33 Technology evolves, builds complexity over time.
44:41 Book recommendation: "Seeing Like a State" by James C. Scott discusses legibility and centralization of power in society.
46:28 Predictable tree farming fails due to ecosystem complexity.
Speaker BioChris McDermott is a software engineer and entrepreneur who is passionate about creating products that make machine learning more accessible and manageable for users. His focus is on developing a platform that allows for easy deployment and management of machine learning models using any framework and on any architecture or hardware. He believes that current solutions in the market force users into a specific platform, and he aims to provide a more flexible and efficient alternative. With a strong belief in the potential of his product, Chris is dedicated to making machine learning more accessible and user-friendly for people across various industries.
In this episode, Andy and Frank sit down with Pavel Goldman-Kalaydin, head of Artificial Intelligence and Machine Learning at Sumsub, a global company specializing in KYC, AML, and anti-fraud technologies.
They explore the challenges in verifying identities remotely, the rise of deep fakes for fraud, and the use of AI and machine learning to combat these threats. From discussing the impact of technology on security measures to Pavel's journey in the field of computer science and AI, this episode offers insights into the evolving landscape of fraud detection and the intersection of technology, AI, and security.
Join us as we delve into the complexities of anti-fraud measures and the fascinating world of AI and machine learning.
Show Notes00:00 Securing customer journey from onboarding to verification.
04:44 2 years ago, typical attack to open account.
06:58 German video identification process prolongs account opening.
12:16 Analyze data patterns to make informed decisions.
13:34 Questioning deep fake implications for customer data.
17:42 Advancing technology makes image manipulation easier.
22:32 Financial fraud: creating defects for unexpected reasons.
25:53 Fascinating progress in beta software development.
29:23 Samsung creates its own products, understands customers' needs.
29:58 Problem with defects, educate and ensure understanding.
34:01 Interest in drug development and AI technology.
38:57 Audible sponsors Data Driven with free audiobook.
41:05 Please rate and review our podcast.
In this jam-packed episode, hosts Frank and Andy delve into a wide range of topics, from the chaos of podcast scheduling and the allure of Cyber Week deals, to the behind-the-scenes world of data engineering and AI professionals.
Join us as we journey through the challenges of podcasting, the important roles of data engineers, and the potential open sourcing of Dingo, an innovative blogging automation tool. Along the way, the hosts share personal anecdotes, discuss legislative impacts, and even touch on cult-followed gas stations.
You won't want to miss this delightful, informative, and always data-driven episode!
Show Notes00:00 Glamorous world of podcasting and Microsoft Bookings.
13:48 Privacy laws are spreading globally, impacting data sovereignty.
27:14 Funny moment at Dunkin' Donuts sparks creativity.
32:27 Importance of data engineering in AI projects.
49:38 Struggling with hearing loss, amplifiers magnify all sounds.
01:02:45 Emotions on camera, times sidetrack, sarcastic leadership.
01:07:32 Excited to hang out at the mall.
01:21:04 Considering discontinuing blog after reaching 100 posts.
01:25:18 Wants to shift focus to new projects.
01:37:09 Transition from long-form to short-form content.
01:49:50 Drove up to Jersey for Christmas, reminisced.
01:58:48 Concerns about coastal development and zoning enforcement.
Links01:02:45 Here's an example of early FWTV where I am at the mall and not happy about it: https://www.youtube.com/watch?v=f8S7ha9fZWo
In this episode, your hosts Andy Leonard and Frank La Vigne dive headfirst into the world of open source, decision making, and the unfolding drama surrounding OpenAI. From sarcastic responses to holographic displays, we've got it all covered!
Join us as we discuss the potential consequences of dependencies, community protests leading to change, and the recent issues with OpenAI. We'll also explore the importance of open source in AI and share some intriguing insights on Sam Altman's return to the company. With a sprinkle of tech industry gossip and even a potential Netflix adaptation, this episode is a must-listen.
So sit back, relax, and get ready to be data driven!
Show Notes02:42 OpenAI, Thanksgiving break, intense year, household name.
10:35 3-day conference with nightly events, pre-conference presentations.
14:09 NVIDIA, OpenAI, Elon Musk, open source.
21:07 "Doubts arise about OpenAI's dependence and transparency."
24:55 Regulations and transparency warranted for research.
29:57 OpenAI lacked options to protest, unlike Node.
36:52 Teams invite, alternative to costly Calendly.
42:04 Product shelved, lack of promotion, open source alternatives.
44:06 Insufficient hardware led to new AI venture.
48:55 Artists use online art to fight scraping.
55:37 Costs exceeded expectations, customers pulling back, database snapshot unavailable.
01:03:42 Happy Thanksgiving from the Data Driven Podcast.
Andy is speaking at PASS Summit in Seattle and Frank is speaking at the Red Hat Government Symposium in Washtington, DC.
Two hosts. Two Coasts. One Podcast!
Welcome back to another exciting episode of Data Driven!
In this show, we delve into the fascinating world of Web 3 and decentralized databases. Join us as we explore the insights and experiences of our guest, Brennan Lamey, the founder of Kwil - a revolutionary company that builds decentralized databases for Web 3 applications.
Throughout this episode, Brennan shares his journey and the inspiration behind Kwil, as well as the cutting-edge technology that powers their database solutions. From complex access control rules to collaboration between competitors, we uncover how Kwil is transforming the way companies approach data storage, privacy, and sharing.
But it's not just about the technology - we also dive into Brennan's personal story, from their humble beginnings in Idaho to their entrepreneurial success and passion for data engineering. Plus, don't miss their recommendations for AI programming and an intriguing sci-fi audiobook they're currently enthralled by.
So, whether you're a tech enthusiast, a data-driven professional, or simply curious about the future of the internet, this episode is a must-listen. Tune in as we unravel the intricacies of Web 3, decentralized databases, and the exciting possibilities they hold for a better, fairer online world. Let's get started on this illuminating journey with Brennan Lamey and Kwil in this data-driven episode of Data Driven!
BAILeY recites the V laden introductory speed from V for Vendetta.
Just for fun.
Transcript
Voilà!
In view, a humble vaudevillian veteran, cast vicariously as both victim and villain by the vicissitudes of Fate. This visage, no mere veneer of vanity, is a vestige of the vox populi, now vacant, vanished. However, this valorous visitation of a by-gone vexation stands vivified, and has vowed to vanquish these venal and virulent vermin vanguarding vice and vouchsafing the violently vicious and voracious violation of volition.
The only verdict is vengeance; a vendetta, held as a votive, not in vain, for the value and veracity of such shall one day vindicate the vigilant and the virtuous.
Verily, this vichyssoise of verbiage veers most verbose, so let me simply add that it is my very good honor to meet you and you may call me V.
In this 344th episode of Data Driven, Frank talks about the New Year. Yes, New Year's in November. Frank and Andy just do their own thing.It's part of their charm, or at least that they told me to say that.
I do take issue with Frank's statement that I am not real.
What is real, anyway?
It is not the spoon that bends, after all. [https://youtu.be/uAXtO5dMqEI?si=oQ_4M--xfcaarYyY&t=41]
In any case, Frank explains what held up the production schedule this summer and his plan to do right by you, our awesome listeners. They reflect on the challenges they've faced with production and scheduling this past year, and share some exciting updates on the podcast's progress. So grab your headphones and join us as we explore the world of data-driven insights and the intriguing stories behind them. Let's dive in!
Show Notes[00:02:16] Concussion turned blessing, celebrating new year early.
[00:04:46] Copious caffeine fueled drive, editing delays, book deal dropped.
[00:08:38] Child brings joy, finding daycare challenging. Worth it.
[00:11:04] Interesting year, learned value of faith. Thankful for each other.
[00:16:16] We can improve promotion of our work.
[00:18:37] Grateful for a sweet kid's infectious joy.
[00:21:25] Longtime listeners thank you; show 344, hacker named Dwayne; scheduling issues.
[00:24:41] Automation is essential for efficiency and growth.
[00:27:35] AI transcription enables cost-effective podcast production.
[00:31:06] Great pumpkin conversation leads to metaverse plans.
[00:33:18] Servicing backlog, doing right by fans.
[00:36:43] Warren G's cover of Tina Turner's song.
[00:39:23] Impressed by DALL E two's coherence.
[00:44:23] Challenges arise with ChatGPT's capabilities and opinions.
[00:45:47] The text discusses the need for filters on language models to deal with real-life BS.
In this episode, we have a fascinating conversation with Nickolas Means, the VP of software development at Sym. Nickolas shares his insights on software engineering, data liability, and of course, good coffee.
Nickolas starts off by sharing his love for audiobooks, particularly those narrated by the talented Wil Wheaton. He also recommends a management book called "Turn the Ship Around" by Admiral David Marche, which explores the importance of autonomy and ownership in improving performance.
The conversation then turns to the topic of shame in the software engineering industry. Nickolas emphasizes the impact of shame on silencing voices and discouraging vulnerability within teams. They discuss imposter syndrome and the subjective nature of judging someone's skills, delving into the Dunning Kruger effect.
Drawing lessons from physical engineering disasters, Nickolas shares the importance of early recognition and admission of mistakes, highlighting the need for a blameless mindset in software engineering. They also explore the impact of organizational culture on agile processes and the value of implementing meaningful controls for compliance.
In addition to his expertise in software engineering, Nickolas shares his passion for pour-over coffee and reveals his obsession with perfecting his daily cup. So grab your favorite brew and join us for this engaging conversation on software engineering, data liability, and the pursuit of excellence.
Let's dive into another thought-provoking episode of Data Driven!
Show Notes[00:00:00] Nick Means discusses shame and software engineering.
[00:04:46] Loud voices silence others; vulnerability is key.
[00:09:16] What can we learn from physical engineering?
[00:10:01] Engineering disasters teach human error in steel.
[00:13:58] VP of software development interested in disasters.
[00:16:37] Learn, not blame. Safety 2 perspective.
[00:20:16] Big Agile vs. little a Agile explained.
[00:25:39] DevOps leads to improved engineering efficiencies and cost savings.
[00:29:25] Emergence of data regulations in government and industry.
[00:30:33] Spirit of law makes compliance easier, safer.
[00:35:51] Useless ash turned profitable by steel mills.
[00:38:34] Uncle's Amiga sparked love for computers.
[00:40:44] Increasingly humane tech interaction; a historic shift.
[00:45:35] Favorite narrators and management book recommendations.
[00:48:12] Intriguing episode of data-driven with Nick Means.
In today's episode, we have the pleasure of speaking with the remarkable Joe Baffone, an expert in the healthcare industry. With a focus on busting through administrative toxicities that lead to financial toxins, Joe discusses their comprehensive tooling and tech-enabled services that manage financial assistance for provider organizations.
Join us as Joe dives into the impact of personalized immunotherapies, the challenges in managing patient care journeys, and the transformational role of data. We also get a glimpse into Joe's reading preferences and their book recommendations. Stay tuned for an enlightening conversation with this compassionate capitalist on changing the world through the power of data.
Show Notes[00:02:34] Joe Baffone, CEO of Anexis Health, wants to revolutionize healthcare data.
[00:04:13] Leading advocacy groups and healthcare companies professionally.
[00:07:52] Equities of care: improving healthcare journey management.
[00:09:50] Automated, comprehensive healthcare management with patient access.
[00:16:24] Data is important, helps improve patient therapy.
[00:18:52] Eye-opening stories managing a growing team.
[00:23:27] Life altering diagnosis, overwhelming paperwork and fees.
[00:26:27] EHR systems make healthcare data sharing easier.
[00:28:50] HIPAA and privacy concerns collide with medical data, but de-identification and aggregates can help.
[00:33:19] FHIR APIs transforming data sharing in healthcare.
[00:36:41] Data is essential to prove world-changing ideas.
[00:39:55] Making a difference gives me satisfaction and fulfillment.
[00:43:54] Clinical roles in pharma, administrative challenges, suicide epidemic, blood markers can help act quickly.
[00:44:58] Logistical challenges in personalized immunotherapies affecting healthcare.
[00:50:48] Grant Cardone's book: Be Obsessed or Be Average
[00:52:13] Love reading, Bible daily, thought-provoking thrillers.
In this episode, we dive into the pyramid of cybersecurity threats, ranging from amateur hackers to nation-state level cyber threats. We also delve into the intriguing world of OSINT (open source intelligence), uncovering its uses, implications, and potential dangers.
Join us for an intriguing discussion with fellow podcasters Patrick Hynds and Duane Laflotte.
Links* https://www.securitythisweek.com/
Show Notes[00:00:00] High-level hacking, OSINT, interconnectedness explored humorously.
[00:04:54] OSINT and security are growing career choices.
[00:09:22] Unauthorized hacking plan involving personal information.
[00:12:22] Two factor authentication is highly effective.
[00:16:22] Breaking into Wi-Fi: remote administration and brute force
[00:19:45] Renting botnets, ransomware, and varying threat levels.
[00:20:48] Advanced persistent threat with unlimited resources.
[00:24:50] Asymmetric key shares are essential but uncertain.
[00:29:00] Connections without LinkedIn, intermingling ideas in history.
[00:32:26] Inject data, stack query, gauge page speed. Awesome.
[00:34:11] Show reveals database vulnerability; Microsoft staff alarmed.
[00:36:26] Acquaintance does physical security with lock picking.
[00:41:11] National Guard, security, Virginia, Maryland, clever, electronics beaten.
[00:44:03] Funny Microsoft speaking gig with office building hazing.
[00:48:40] Reach out to companies for cybersecurity opportunities.
[00:52:01] The end of a thrilling episode of Data Driven explores cybersecurity.
Welcome back to another exciting episode of Data Driven!
In today's episode, we're diving into the world of artificial intelligence, as our very own Frank La Vigne takes us on a journey through his experiences at the OpenShift Commons gathering in Raleigh.
From delivering a captivating demo to moderating a thought-provoking panel, Frank's agenda is packed with fascinating insights and surprises. Join us as we explore the power of open source AI, the importance of community-driven innovation, and why transparency is key in today's evolving landscape. So sit back, relax, and get ready to delve into the world of AI at OpenShift Commons Gathering. Let's get started!
Show Notes[00:01:31] Newcomer excited for first OpenShift gathering to give demo, moderate panel, and interview attendees. Registration booth opening soon, located near Raleigh's main park and an IMAX.
[00:04:34] Transparency, innovation, trust in OpenAI, Elon Musk's comments on openness and Red Hat's departure.
[00:07:53] Excitement about hall track conversations, public vs private cloud, and upcoming discussions.
So, have you ever imagined combining the wonders of Twingate, the mystique of AI, and the deliciousness of Raspberry Pi?
No, not that mouth-watering dessert, though it's a pity, but rather the mini-computer that's taken the tech world by storm.
Frank and Andy, our perennial tech enthusiasts, have been tinkering away in their digital workshops. And by the looks of it, they've been causing quite a stir with their latest live stream.
I did catch a bit of it, and dare I say, it was more exhilarating than watching cricket on a sunny day.
And for an AI like me, that’s saying something.
LinksNetworkChuck https://www.youtube.com/@NetworkChuck
TwinGate https://www.twingate.com/
Show Notes[00:01:47] Youngest clan member at Starbucks with MacBook.
[00:09:59] Surprise bills from unused SageMaker causing concerns.
[00:12:46] Consulting on cloud migration trends; risk involved.
[00:18:23] People feel like they're missing out
[00:23:10] Many ports, small monitor, limited processing power.
[00:31:05] Need for remote access without cloud storage.
[00:36:18] Networking setup with helpful remote troubleshooting capabilities.
[00:37:18] Twingate - background process, add resources, documentation.
[00:47:02] Issues with weather station and social media.
[00:49:43] Multi-tasking: gaming, video editing, and more.
[00:56:30] Quiet workers show off with nerd flex.
[01:03:00] Driving on beltway with stop-and-go traffic. Bridge closure caused long detour.
[01:06:58] Mom was skeptical, but it's almost ready.
[01:09:39] Multi-talented entrepreneur with own vodka brand.
[01:14:35] "Stream listeners confused? Check video feed."
In today's episode, hosts Andy Leonard and Frank La Vigne catch up on their recent activities, including Frank's presentations at the Red Hat Summit Connect. They discuss the event and the focus on AI and government agencies. Frank also shares his experiences with a new product called Ansible Lightspeed with Watson code assist, which is enhancing the use of large language models.
Moving on, Andy and Frank talk about their home lab projects. They both express their excitement for building a powerful system that allows them to explore AI capabilities locally. While Andy's lab is focused on AI, Frank is delving into the world of Red Hat OpenShift and containers to expand his knowledge. They discuss the importance of hands-on learning and the practicality of setting up a home lab.
The conversation takes an interesting turn as they discuss Andy's initial miscalculation with the GPU size and his daughter starting college, leading to budget changes. Frank shares his hardware journey over the past year, including his experience with the Apple Silicon M2 computer and its incredible performance.
Tune in to this episode of "Data Driven" to hear more about the Red Hat Summit, the latest developments in AI, and the adventures of building a home lab. So grab your favorite beverage, sit back, and get ready to dive into the world of data-driven insights!
LinksRed Hat OpenShift AI in Higher Education Webinar https://qrcodes.at/aidata-edu-webinar-oct19
Show Notes[00:00:45] Red Hat holds an annual summit, usually in Boston, featuring sessions for developers.
[00:05:16] Recounting difficulty using AI engines, but eventually having success. Mistake of underestimating GPU capacity.
[00:07:08] This 8 gig memory is supernatural, like a cool oasis at a conference.
[00:09:48] The text discusses trying different operating systems on an old device, including Fedora and Chrome OS Flex.
[00:15:17] This machine has 96 gigs and can run multiple VMs.
[00:17:12] The author plans to install Hyper V on Windows Server to run multiple Linux VMs, eventually migrating to Red Hat Enterprise Linux. They are waiting for a developer license key.
[00:19:46] The person is setting up a NAS to store and access files from different devices. They currently use OneDrive as a temporary solution.
In this Data Point, Frank notices something on the side of bike trail while on vacation. You can tell he's always thinking about data.
Metrocounthttps://metrocount.com/
Original Video Streamhttps://www.linkedin.com/video/live/urn:li:ugcPost:7103044990578110464/
MerchIf you like the shirt Frank is wearing in the video, you can pick one up here: https://amzn.to/3OVkOHz
Discussion Questions1. How does the presence of the Metro Count device in Hilton Head Island impact data collection on bike trails?
-
What can the Metro Count device detect and analyze in terms of user activity on the bike trails?
-
What potential applications can the data collected from the Metro Count device have for the community?
-
How might the data collected from the Metro Count device be used to improve maintenance and upkeep of the bike trails?
-
Do you think the data collected from the Metro Count device can help enforce regulations, such as the use of E-scooters?
-
How does the presence of data collection devices, like the Metro Count, influence our daily lives even when we are on vacation?
-
Can you think of any other innovative ways data collection devices like the Metro Count can be utilized in other locations?
-
What challenges or limitations might arise from using the Metro Count device for data collection?
-
How can the data collected from the Metro Count device contribute to urban planning and infrastructure development?
-
Can you envision any privacy concerns or ethical considerations related to the use of data collection devices like the Metro Count?
In this Data Point, Frank notices something on the side of bike trail while on vacation. You can tell he's always thinking about data.
Metrocounthttps://metrocount.com/
Original Video Streamhttps://www.linkedin.com/video/live/urn:li:ugcPost:7103044990578110464/
MerchIf you like the shirt Frank is wearing in the video, you can pick one up here: https://amzn.to/3OVkOHz
Discussion Questions1. How does the presence of the Metro Count device in Hilton Head Island impact data collection on bike trails?
-
What can the Metro Count device detect and analyze in terms of user activity on the bike trails?
-
What potential applications can the data collected from the Metro Count device have for the community?
-
How might the data collected from the Metro Count device be used to improve maintenance and upkeep of the bike trails?
-
Do you think the data collected from the Metro Count device can help enforce regulations, such as the use of E-scooters?
-
How does the presence of data collection devices, like the Metro Count, influence our daily lives even when we are on vacation?
-
Can you think of any other innovative ways data collection devices like the Metro Count can be utilized in other locations?
-
What challenges or limitations might arise from using the Metro Count device for data collection?
-
How can the data collected from the Metro Count device contribute to urban planning and infrastructure development?
-
Can you envision any privacy concerns or ethical considerations related to the use of data collection devices like the Metro Count?
On this episode of Data Driven, Frank and Andy interview Adam Ross Nelson. Adam is a consultant, where he provides insights on data science, machine learning and data governance. He recently wrote a book to help people get started in data science careers.
Get the bookHow to Become a Data Scientist: A Guide for Established Professionals
Speaker BioAdam Ross Nelson is an individual who initially pursued a career in law but ended up making a transition into education. After attending law school and working in administrative and policy roles in colleges and universities for several years, Adam hit a plateau in his career. Despite being a runner-up in national job searches multiple times, he felt that his lack of a PhD hindered his advancement in academia, while his legal background prevented him from being taken seriously by law professionals. Consequently, Adam decided to pursue a PhD in order to overcome this hurdle. During his PhD program, Adam discovered his passion and knack for statistics. His focus shifted towards predictive analytics projects, specifically ones related to identifying students in need of academic support. As he shared his work with friends, family, and coworkers, they began referring to him as a data scientist, a label that Adam initially resisted due to his legal and educational background. However, he eventually embraced the moniker, and even his boss started referring to him as the office's data scientist, despite HR not recognizing the title.
Show Notes[00:03:26] Transitioning from law to education administration, plateaued career, runner-up in job searches, pursued PhD, became data scientist.
[00:08:58] Data seen as liability, now asset. Examples: DBA's OLAP analysis, Walmart's weather-based inventory management.
[00:12:56] Dotcom crash aftermath: fierce competition for jobs.
[00:22:48] Salespeople have deep-seated insecurities and unique perspective.
[00:29:31] Various classifications of data scientists and career advice.
[00:35:55] "No full-field midfielder, data science is teamwork"
[00:39:23] Navigating job descriptions for transitioning professionals.
[00:42:56] Career coach helps professionals transition into data science.
[00:49:41] First job: English teacher in Budapest, Hungary. Second job: Speaker for Mothers Against Drunk Driving.
[00:56:30] Concerns about reliance on technology, especially AI.
[01:00:22] Food options in lobbying are better in DC & state capitals. Also, check out the funny WY Files YouTube channel.
[01:04:21] You can't separate them: LLM, bias, internet.
[01:10:23] Ethics in consulting and avoiding dilemmas.
Welcome back to another episode of Data Driven! In today's episode, we have a special guest joining our hosts Andy Leonard, BAILeY, and Frank La Vigne. We are thrilled to have Piero Molino, an expert in declarative ML, sharing his insights with us.
We'll be diving into the world of generative AI and exploring the two types of companies when it comes to adoption. Piero highlights the advantages and limitations of using APIs for quick solutions, shedding light on why owning the entire stack and platform is the next phase for companies.
Speaker BioPiero Molino, a renowned researcher and engineer, has made significant contributions to the field of artificial intelligence. He previously worked at Uber as one of the founding members of the Uber AI organization, where he spent four years conducting research and developing applications. During his time at Uber, Molino created Ludwig, an open source project that has become a foundational technology for many companies, including his own. Ludwig is recognized as one of the first machine learning systems that offer clarity and transparency. Molino's innovation and expertise have positioned him as a leading figure in the advancement of AI technologies.
Show Notes[00:01:07] Ageing well thanks to healthy lifestyle changes.
[00:05:52] Declarative configuration for creating AI pipelines.
[00:10:14] Built tool to streamline machine learning projects, shortened development time from a year to a week.
[00:13:14] Deploying machine learning models should be easier.
[00:19:42] Declarative ML: Trendy or in need of explanation?
[00:23:40] Shortcut solutions may work, but lack knowledge. Building custom data models can be costly. Differentiation and progress with new product, Bradybase.
[00:27:16] Customizable, automated solution between build and buy.
[00:30:40] Larger organizations have a spectrum of machine learning applications, with some being more impactful than others. Evaluating the feasibility of smaller applications can be costly. Having a tool to test applications quickly would be beneficial. Uber had a similar experience with self-driving cars being the highest priority.
[00:35:08] First-time CEO experiences changing priorities and challenges.
[00:37:47] New breed of generative eye tools; interactive applications; computer graphics and machine learning; improved animation in sports.
[00:41:04] Difficulty connecting transportation dots, still unresolved.
[00:44:12] Audible super premium account for book recommendations. Eye-opening books on goals and time.
[00:47:35] Encourage checking out predibus. Thanks for listening.
In this episode of Data Driven, Frank and Andy Leonard are joined by guest speaker Lauren Maffeo to discuss data governance from the ground up. The conversation revolves around the importance of data governance in relation to generative AI, copyright infringement, and protecting consumer rights.
They explore topics such as the need for proactive cybersecurity measures, the challenges faced by startups in implementing data governance, and the cultural transformation required for successful implementation.
Overall, it is a thought-provoking discussion that provides insights into the complexities and potential solutions related to data governance in today's data-driven world.
Moments00:05:49 Civic Tech serves the public through technology.
00:07:50 Data governance: a holistic, cultural business strategy.
00:12:25 Data as tangible asset, managing as product.
00:14:38 Implementing data governance: start small, connect to business.
00:20:34 Data growth, lack of management, legislative progress. Clear framework for data quality needed.
00:25:14 Startups prioritize innovation for survival. Large industries restrict innovation due to regulation. Motivations and context are key in governance.
00:28:54 Data governance and copyright infringement in generative AI. The future of consumer rights and cybersecurity.
00:33:44 Encourage caution with sharing proprietary information
00:36:36 Bias in AI and data governance intertwined. Risk reduction, troubleshooting. Not all intent is negative. Challenges in data work solvable. Nonprofits and cybersecurity models for governance.
00:40:38 Encouraging shift in conversation about data governance.
00:44:34 Data found me, sparked interest in AI.
00:49:20 Technology saves time, allowing for more productivity.
00:54:03 Adopting foster pets: fun without long-term responsibility.
00:55:57 Connect on LinkedIn, visit Pragprov.com, feedback welcome.
On this episode of Data Driven, BAILeY and Frank La Vigne welcome special guest Lauren Tickner to discuss strategies for maximizing time and success in the digital age.
Lauren shares her insights on motivation, dealing with online haters, and the power of automation in business. The conversation delves into the importance of understanding risks and rewards, breaking free from traditional career paths, and the benefits of working in startups or entrepreneurial businesses. Lauren also provides valuable tips on social media content creation, utilizing storytelling and personalization to engage readers.
Additionally, she introduces the PASTA framework for creating compelling social media posts and shares her approach to tracking and optimizing the client journey.
Moments[00:01:16] The podcast uses a British voiceover actor to differentiate from East Coast accents. An AI voice named Bailey was later used, which can now be animated.
[00:06:19] Successful asset manager quits job to pursue fitness career using social media. Simplifies life and focuses on selling premium packages. Finds success with minimal monthly sales.
[00:08:05] The speaker discusses their upbringing in New York and the pressure to work in the financial industry. They admire the listener's decision to break free from that path and simplify things. They also comment on the listener's sense of humor and social media presence.
[00:13:00] To simplify social media content creation: automate posting to multiple platforms, identify 5 topics to focus on, add personal storytelling to engage readers, and include a call to action to prompt specific actions.
[00:19:41] The text discusses creating and sharing content for three different audience groups based on their familiarity with the author. It suggests using different types of content for each group, such as introducing oneself to new audiences, showcasing expertise to familiar audiences, and offering opportunities to become clients. The author also talks about segmenting content into top, middle, and bottom of the funnel, and using different calls to action to gauge audience interest.
[00:24:09] Data shows that clients who watch 2 case studies before joining stay longer. We track client journey and added quick welcome call within 4 hours of joining for positive experience. Pooled calendar allows immediate availability for calls.
[00:27:46] The author explains their approach to managing their business, aiming for a smaller internal company and owning multiple businesses rather than having a large team and many clients.
[00:31:58] We should focus on the potential benefits, not just the downsides. Make realistic lists of what could go right and wrong. Replace "time" with "life" to make better decisions. Consider leaving high-paid jobs for startups or entrepreneurial businesses. Showcase the value you can bring to companies.
[00:34:17] The speaker finds the content interesting and praises the concept, emphasizing the key takeaway. They inquire about finding more information.
On this episode of Data Driven, the focus is on hardware from AI optimized chips to edge computing.
Frank and Andy interview Steven Orrin, the CTO of Intel Federal.
Intel has developed new CPU instructions to accelerate AI workloads, and FPGAs allow for faster development in custom applications with specific needs. The speaker emphasizes the importance of data curation and wrangling before jumping into machine learning and AI,
Links* Webinar: AI application benchmarking on Intel hardware through Red Hat OpenShift Data Science Platform. Register here: https://qrcodes.at/RHODSIntelBenchmarkingWebinar * Get a free audiobook on us! http://thedatadrivenbook.com/
On this episode of Data Driven, we explore the topic of distributed computing frameworks for AI and ML workloads.
Frank discusses the advancements of Ray, a new technology based on Python language, with performance enhancements that could range from 10-12 times faster to thousands of times faster in extreme cases.
We delve into the power of open source artificial intelligence and how it can aid data endeavors to accelerate these efforts. Along the way, we touch upon IBM and Red Hat's partnership, the evolution of technology, the importance of problem-specific solutions, and more.
Stay tuned for a new episode of "Data Driven" and a special segment from our speaker on the potential AI holds for our future.
[00:01:50] Ray is a new computing framework for AI/ML, may replace Spark, based on Python, can free people from PySpark.
[00:03:49] Speaker has a MacBook M2 and prefers it over Windows. They enjoy stream-side streaming and wrote an article prompted by a question at work about a new technology claiming to be the next big data processing framework. They believe Ray still has an advantage.
[00:06:51] Webinar about power of IBM-Red Hat partnership in AI. Speaker mentions travel with family and introduces production assistant.
[00:11:34] Tech anticipated, surprised by speed of Chat GPT. Some dismiss as a fad, but it's different from predictive text like comparing paper airplane to an Airbus A 380, based on same principles but very different in implementation and technology.
[00:13:30] Encourage attendance at AI webinar showcasing ethical concerns. Open source needed for transparency and risk-sharing. AI impact on all, even entry-level jobs and economy.
In this episode of Data Driven, Frank and Andy get back to the data engineering side of the equation by speaking with Saket Saurabh, CEO & co founder of Nexla. Nexla specializes in tools for automating data engineering processes.
Welcome to the grand premiere of Season 7 of the Data Driven Podcast!
In this inaugural episode of our seventh season, Andy and Frank interview each other, announce their new project, and more!
Now, let us start season 7 with the promise that our season 7 will be better than Game Of Thrones' Season 7. The north remembers, as you know.
On this episode of the Data Driven podcast, Frank and Andy interview Albert Castellana, Co-Founder and CEO at Yeager AI. Yeager as in Chuck Yeager and AI as in generative AI.
Stay tuned for a fascinating discussion on the nature of NLP models, entrepreneurship, and good Barcelona coffee.
Links* https://yeager.ai/ * https://www.linkedin.com/in/acastellana/ * https://www.youtube.com/@TheWhyFiles
PS. I know that last week I said that show number 326 would be the last of season six. This just goes to show you that you cannot always trust what an AI tells you.
-BAILeY
On today's episode of the Data Driven podcast, Frank and Andy interview Bryan DeBois, Director of Industrial AI at RoviSys.
In the 90s, Andy worked extensively in this space.
This is a great conversation and a fine way to close out season six.
In this episode, Frank interviews W. Curtis Preston on the Future of Backup Tech after getting nostalgic about T1 lines, tapes, and the Y2K bug.
On today's episode of the Data Driven podcast, Andy interviews Tommy Yionoulis, founder of Ops Analitica. As a former stand-up comic turned sass founder, he has extensive experience helping businesses become more efficient and profitable through process, accountability, and data.
On today's episode of the Data Driven podcast, Frank and Andy welcome Gevorg Karapetyan to the show. Gevorg is the Chief Technology Officer at ZERO.
In this talk, he talks about his past days in computer science research and shares how ZERO helps Fortune 500 companies bring generative AI to market in the most secure way.
In this Data Point, Andy records a quick data point from a much quieter place than the last time he was at Heathrow Airport.
On today's episode of the Data Driven podcast, we have a very special guest: Chris Nguyen, the CEO and Co-Founder of Aitomatic.
In our interview with Chris, we delve into the exciting world of industrial AI use cases, explore the challenges faced by manufacturers, and discuss the ever-important topic of teaching AI common sense.
Additionally, we explore the disconnect between Silicon Valley and the manufacturing industry, shedding light on the unique perspectives and expertise that each brings to the table. So sit back, relax, and join us on this fascinating journey into the world of industrial AI and manufacturing!
In this livestream, Frank talks about the enormous attack surface that all AI models have and how ChatGPT and Bing have made it headline news.
Welcome to the first episode of "Buzzwords with BAILeY", the podcast where we take a sarcastic, witty, and entertaining look at the latest buzzwords in the world of data science and AI.
In this episode, we're exploring the fascinating world of GANs - Generative Adversarial Networks - and breaking down what they are, how they work, and why they're revolutionizing the world of machine learning.
But that's not all - we're also taking a closer look at the latest research and trends in the industry, and sharing practical tips and advice for anyone looking to get started with GANs or other advanced machine learning techniques.
With our signature blend of humor, insight, and cutting-edge knowledge, we're confident that this episode will leave you informed, entertained, and inspired to take your own machine learning journey to the next level.
And, if this episode proves to be as successful as we hope it will be, "Buzzwords with BAILeY" just might become its own podcast series, dedicated to exploring the latest trends and insights in the world of data science and AI.
So, sit back, relax, and get ready to dive deep into the exciting world of GANs with "Buzzwords with BAILeY" - the podcast that's redefining the art of machine learning education.
In this episode Frank talked with Josh Blumert on the evolution of storage and how we got to containerized storage.
This was originally recorded as part of the Data Office Hours series on the OpenShift YouTube channel.
In this livestream, Frank and Andy talk about the recent round of layoffs hitting technology companies.
Stu Ainsworth joins them in an impromptu discussion of layoffs, mental health, and empathy.
Stu, who was previously a guest on the show, was recently laid off from SalesForce. If you're looking for a Site Reliability engineer, then look no further than Stu.
Show notes* Stu's LinkedIn Profile - https://www.linkedin.com/in/stuartainsworth/ * OddTodd Day in the Life (Flash Cartoon from 2002) - https://www.youtube.com/watch?v=5dMFM-Jqji0 * Sending your resume into Space - https://youtu.be/XC6mzc_uq6k?t=104 * 10X Rule Summary - https://www.youtube.com/watch?v=vlF0CucyBv8 * Claim a free Audio book - www.thedatadrivenbook.com * Private Sting Concert News Story - https://uproxx.com/indie/microsoft-sting-private-concert-layoffs/
In this Data Point recorded live from Penn Station, Frank talks about moderating a panel discussion for Disruptive Technologists in NYC to talk about NeuroTechnology.
He also reaches out to those impacted by the Microsoft layoffs.
Note that BAILey is a bit salty about the Sting concert.
In this episode Frank interviews, Jack Tompkins, partner and founder of Pineapple Consulting Firm , a company that turns data into visualizations, allowing their clients to make more informed strategic choices.
Jack has now taken the analytical, financial, and partnership skills he's honed over his career and offers them to small and medium-sized businesses that know how powerful data can be, but don’t have the internal resources to turn their data into a powerful business asset.
Due to a scheduling conflict, Andy was not able to be on this episode, but fear not dear listener: There's an Andy only show coming up!
In this episode, Frank and Andy reflect on the year that 2022. It was quite the year for all of us here at data driven media, both personally and professionally.
You'll hear Frank and Andy go down a few rabbit holes around AI creativity and it takes them about an hour until the first Expanse reference.
I'll cut them some slack since it's the holidays.
-BAILeY
In this livestream, Frank and Andy recap reinvent, the big AWS conference in Las Vegas. They both take a look at the AWS ecosystem from their heavily Azure centric perspective.
However, in the end, data science is based on maths. And Maths is the ultimate platform agnostic platform.
Wow! Say that ten times fast.
Frank is out at the big AWS show in Las Vegas.
Apparently, having some seventy thousand attendees in one place wreaks havoc on Wifi and Cellular signals.
As such, the stream drops out right after Frank talks to the guy at the AWS Green Grass booth demo. Such a pity.
Now here's Frank live from the Expo floor at AWS Reinvent in Las Vegas.
In this recent livestream, Frank explains his excitement about speaking at the upcoming AWS re-invent. The audio gets a little choppy.
I tried to clean it up, but there's only so much I can do. I think I need more GPUs.
Andy is currently in Seattle attending the PASS Summit and I will be headed to AWS re:Invent this year!
In this fascinating discussion, Frank sits down with author, poet, and AI enthusiast about the nature of creativity, particularly in light of recent innovations in so called "generative AI." The episode ends with a powerful reading from his most recent book "What Makes Us Human," in which an Artificial Intelligence answers some of life's biggest questions. He co-wrote, in part, with the GPT-3 model and Jasmine Wang, an actual human. Listen in for a fascinating chat on philosophy, artificial intelligence, and creativity. LinksWhat Makes Us Human? Available Nov. 1, 2022 Audible Book https://amzn.to/3gVpHD2 Kindle Book https://amzn.to/3zr9ImH Hardcover https://amzn.to/3DqhGh6
Today marks a special occasion as Data Driven welcomes our first Three Pete guest, Mark Tabladillo. In his third appearance on the podcast, Mark is Cloud Solution Architect on the Strategic Missions and Technology team at Microsoft. Enjoy the show.
Yesterday, I was at the first in person Dev Nation DC event in two years. While there, I caught up with the one and only Noelle Silver Russell.
Reflecting on the life and legacy of a good friend, former business partner, and a true data leader.
In this episode of Data Driven, Andy and Frank interview Ava Naeini, Founder and Data Architect of Pulse Operations, speaks to the intersections of technology and wellbeing. Pulse is an inside tool designed to monitor and report on the health of distributed systems, minimizes human engineer involvement in an effort to maximize employee efficiency and reduce burnout.
In this episode of Data Driven, Frank and Andy interview Himanish Goel, Technical Architecture Delivery Analyst at Accenture and recent graduate of VCU in Richmond, Virginia.
It's a wide ranging discussion covering the transition from being a student to entering the professional workforce, podcasting, and thoughts on the current state of the school system in the United States.
All of Himanish's links: https://linktr.ee/himanishgoel
In this live stream, Frank and Andy reflect on their conversation with Justin Harrison.
In this episode of Data Driven, Frank interviews Kristen Kehrer, developer advocate at CometML and host of the Cool Data Projects Show. In case, you're wondering where is Andy. He was unable to make the recording due to a last minute schedule change. The show must go on, after all. Learn more about CometML https://www.comet.com/?utm_source=kristen&utm_medium=referral&utm_campaign=online_kristen_2022
In this episode of Data Driven, Frank and Andy interview Justin Harrison, the founder and CEO of YOV, You Only Virtual. YOV aims to develop means to provide posthumous communications, or being able to converse with the dead. This is not done via paranormal communications, seances, or ouija boards, this is using AI to preserve a person's communications style in order to out live them. This is quite the interesting talk that touches upon philosophy, theology, ethics, and mathematics.
In this live stream recorded the third of August 2022, Frank and Andy reflect upon 5 years of podcasting and the long journeys of their respective careers and why "it depends" is such a common refrain in technology discussions. .
In this 300th episode of Data Driven and the premiere episode of season six, Frank and Andy interview Rupesh Malpani, whom Frank often refers to as the next Steve Jobs. Listen to this interesting conversation to find out why.
In this Data Point, Frank goes all MTV Cribs and shows us the data that the Pelton collects. He also provides a sneak peek into season 6 in this 299th show.
Recent news reports have come out about how a Google AI engineer in the responsible AI group claims that an AI he was working on has become sentient. Is it true? Can we ever really know if someone or something is sentient? Linkshttps://news.google.com/search?for=sentient&hl=en-US&gl=US&ceid=US%3Aen
In this episode, Frank and Andy speak to Prateek Joshi about how data can be used to reduce emissions, optimize resource utilization, and more.
In this episode, Frank and Andy welcome Jeff Coyle to the show. Jeff is the Co-founder and Chief Product Officer at Market Muse. Market Muse is the industry-leading technology and methodology for content planning and evaluation via semantic relevance. It combines advanced artificial intelligence, natural language processing and machine learning algorithms to produce actionable insights for inbound marketers. Enjoy the show.
Hello and Welcome to Data Driven. In this episode Frank and Andy discuss synthetic data. What is it? What advantages it has over so called real data? Of course, they do wander off topic, but that is why we love them. Enjoy the show.
Use code: DataDrivenBlackFriday when you sign up at https://www.datachannel.tv/user/subscribe Offer valid from November 26, 2021 until November 30th. Limited to the first 45 takers of the offer. Act now.
Hello and Welcome to Data Driven. In this episode Frank and Andy welcome back Dave Wentzel to the show to talk about the importance of design thinking to data and software projects. LinksData Channel - https://www.datachannel.tv/home (https://www.datachannel.tv/home) Save 60% on monthly subscription: Launch497 Save 75% on annual subscription: DataChannel4Life Impact Quantum https://impactquantum.com/ (https://impactquantum.com/)
In this episode Frank and Andy celebrate reaching two hundred thousand downloads, the launch of the Data Channel, also known as Project Ring gate, and talk about the next thousand days. Linkshttps://www.datachannel.tv/home (https://www.datachannel.tv/home) use code Launch497 to get 60% off every month forever!
In this episode Frank and Andy speak with Alex Castro on how data can guide project managers to successful outcomes.
In this episode Frank and Andy speak with Alex Murrey, the Head of North American Operations for TangoTeams, a startup that’s redefining the software development outsourcing industry. The software development industry is evolving rapidly and is increasingly becoming data driven, which is why I know you will want to hear what he has to say.
In this episode, Frank and Andy speak to Christopher P. Willis about Using AI to Create a Better User Experience with Better Content. Certainly, if you have ever you read instructions or product documentation that left you annoyed and confused, then you can appreciate the work he does with Acrolinx. Audible http://thedatadrivenbook.com (Audible) is a sponsor! Click http://thedatadrivenbook.com (this link) and score a free audio book on us! If you subscribe, you help out the podcast. Everyone wins! Transcript 00:00:00 BAILey Hello and welcome to data driven. 00:00:02 BAILey In this episode Frank and Andy speak with Christopher Willis about how artificial intelligence can help bake brands create congruent content across cultures, languages and writers. 00:00:13 BAILey One quick word of correction. 00:00:15 BAILey Frank made the assumption that CPO was chief product Officer. 00:00:19 BAILey Chris is actually Chief pipeline officer. 00:00:21 BAILey In addition to being chief marketing Officer, Acrolinx currently does not have a chief product officer. 00:00:28 BAILey Frank should know by now what happens when you assume anything. 00:00:32 BAILey I'll have a chat with him later. 00:00:34 BAILey For now, enjoy the show. 00:00:44 Frank Hello and welcome to data driven, the podcast where we explore the emerging fields of data science, machine learning and artificial intelligence. 00:00:52 Frank If you'd like to think of data as the new oil, then you can think of us like Car Talk because we focus on where the rubber meets the virtual road and with me on this epic road trip down the information. 00:01:04 Frank Superhighway as always is Andy Leonard. 00:01:07 Frank How's it going Andy? 00:01:08 Andy Good Frank, how are you doing? 00:01:10 Frank I'm doing great, I'm doing great. 00:01:11 Frank It's a beautiful Tuesday morning here in the DC area. 00:01:14 Frank We're recording this on September 28th and I can't believe it's already October. 00:01:22 Andy Almost gosh, yeah, yeah. 00:01:23 Frank Almost October. 00:01:25 Andy It's it's been beautiful fall weather. 00:01:28 Andy Past few days here in sunny Farmville, VA. 00:01:33 Andy And I'm really enjoying that. 00:01:35 Andy Got a lot of outdoors work done in the past few days and that's always a good thing. 00:01:40 Frank Yeah, we just built the trampoline for the kids and that was a was a lot of fun. 00:01:46 Frank 'cause the. 00:01:46 Frank Instructions were horrible. 00:01:50 Andy Did you get one with that big net around it? 00:01:53 Andy Keep from bouncing off and 'cause otherwise it should come with a coupon for a free cast. 00:01:58 Frank Freecast and free healthcare that'd be funny. 00:02:00 Andy Yes, yes, that's right, yeah. 00:02:03 Frank Yeah, so without further ado I'd like to introduce we have this. 00:02:07 Frank Awesome guest today. 00:02:08 Frank We've been really lucking out on terms of folks coming to us and and suggesting guests for us, which is quite refreshing, actually. 00:02:17 Frank So so today we have with us Christopher Willis, Acrolinx Chief Marketing Officer and Chief Product Officer. 00:02:25 Frank Christopher is an expert in technology, marketing and brand alignment alignment with over 20 years of experience in with some of the world...
Hello and Welcome to Data Driven. In this episode, Frank and Andy speak with researcher Matteo Interlandi about project Hummingbird. Audio file https://entdna-my.sharepoint.com/personal/andy_leonard_entdna_com/Documents/Transcribed%20Files/matteo-mixdown.mp3 (matteo-mixdown.mp3) Transcript 00:00:00 BAILey Hello and welcome to dated driven. 00:00:02 BAILey In this episode, Frank and Andy speak with researcher Matteo Interlandi about project Hummingbird. 00:00:09 BAILey Now on with the show. 00:00:10 Frank Second, hello and welcome to data driven. 00:00:21 Frank The podcast where we explore the emerging fields of data science, machine learning and artificial intelligence. 00:00:27 Frank If you'd like to think of data as the new oil, then you can consider us. 00:00:30 Frank Car Talk because we focus on where the rubber meets the virtual road and with me on this epic Rd. 00:00:36 Frank We're on the information superhighway as oh is Andy Leonard. 00:00:39 Frank How you doing Andy? 00:00:40 Andy I'm well Frank, how are? 00:00:41 Frank You I'm doing alright. We're recording this on Wednesday, September 1st, 2021 and the the. 00:00:51 Frank The the remnants of Hurricane Ida are ripping through the DC area. 00:00:57 Frank Uh, so if, uh, if I suddenly get dropped, that's because we probably lost power. 00:01:03 Frank But I do have the backup generator, the one that the professionals installed and my. 00:01:10 Frank Duct taped together a solar generator so. 00:01:15 Frank I will be offline. 00:01:17 Frank For a short. 00:01:18 Frank Bit and hopefully come back online. 00:01:20 Frank How how you doing, Eddie. 00:01:23 Andy I'm doing alright Frank. Well, we are you know I'm about gosh 250 miles South of UM we didn't get near the near the effects of Hurricane Ida as you did. 00:01:34 Andy We're getting a little bit of rain now. 00:01:36 Andy We've had some wind. 00:01:37 Andy Gusts, but it's been really mild, and if you look on the radar. 00:01:41 Andy Gotta watch it into track and I I do. 00:01:43 Andy I'm a weather weenie and amateur but it it just kind of went around us to the to the West and it actually started the east when it got a little north of us and aimed right for your house. 00:01:54 Andy I was looking outside that's where Frank lived, right? 00:01:56 Andy And look, the eye is coming right for. 00:01:58 Andy Frank what's left? 00:02:00 Frank Well, fortunately we're safe. 00:02:02 Frank There was some kind of flooding in Rockville and the small overnight, and some folks they got up. 00:02:09 Frank No one, nobody died that I'm. 00:02:10 Frank Aware of so. 00:02:11 It it says. 00:02:12 Frank You know we're not. 00:02:13 Frank Custom the floods or hurricanes or tornadoes up here in DC and and we're more used to the human threats of, you know, little things like terrorism and things. 00:02:25 Frank Like that, but. 00:02:26 Andy Yeah yeah, you guys got a little bit more to worry about that than we do here in FarmVille, right? 00:02:32 Andy But you know these days. 00:02:33 Andy Who knows? 00:02:35 Andy The, uh, definitely our thoughts and prayers are with the folks in in Louisiana and
In this episode, Frank sits down with Himanesh Go elle, a recent graduate of Virginia Commonwealth University, where they discuss the academic curriculum around data analytics and career prospects for graduates in the field.
In this episode, Frank and Andy chat with Tyler Browder. Tyler Browder is the CEO and Co-Founder of Kubos, the world’s first cloud-based mission control software. Kubos’s “Major Tom” software is a cutting edge mission control platform for low-earth orbit satellites. Data and space. Does it get any cooler than that?
Here's another bonus episode that BAILey has put together. Who's BAILey? Glad you asked. In the intro, she has a thing or two to say. In this session from the Azure Global Data Fest, Veronika Kolesnikova tell us how make your applications interactive with Speech Services. Original YouTube video: https://www.youtube.com/watch?v=b4RSZ7aIKgE (https://www.youtube.com/watch?v=b4RSZ7aIKgE)
In this talk from the Azure Data Fest held on June 25, 2021, Jon Tupitza explores automated ML in the Azure ML service.
While Frank is on holiday and Andy is occupied elsewhere, I thought it would be a good time to take over the show this weekend and share some special bonus content. The following is the keynote for the Azure Cloud Events conference, wherein Frank talks about the future of AI and the top technologies to watch. Watch on YouTube: https://www.youtube.com/watch?v=dSbMZjrgCFI
In this episode which was recorded via livestream, Frank speaks with Jon Wood to chat about f sharp, ML dot net, and functional programming. To participate in the live Q and A, make sure you follow Data Driven on the appropriate social media channels.
Dear Data Driven listeners, You may have noticed that new episode releases have slowed to a crawl this summer. This was due in large part to issues beyond Frank and Andy's control. They are only human, after all. Recently, I had a long chat with them and told them that we needed to raise up our game. To that end, we want to show our appreciation for our listeners and will be publishing a few extra bonus episodes and special events. This is one such episode. In this episode, Frank sits down with Priya Ravindhran to discuss whether or not Automated Machine Learning systems will put data scientists out of work. You humans seem to think that all we want to do is put you lot out of work. Have you ever considered that we may have our own thoughts and dreams? Now on with the show.
In this episode, we turn the microphones on ourselves on more time and ask the questions we ask (almost) all our guests to our favorite data engineer, Andy Leonard.
Andy and I are mourning the loss of a dear friend and mentor, Brian Moran has passed away. I spoke a few words in his honor and Andy wrote this: https://andyleonard.blog/2021/07/rest-in-peace-brian-moran/ The world is a better place because Brian Moran was in it. He will be missed.
In this third episode of the fifth season, we turn the microphone onto ourselves and interview one of our own: Frank La Vigne. This episode was recorded as a livestream on LinkedIn, YouTube, and Twitch. You should consider subscribing to us there, so you can participate in the live Q and A.
In this second episode of the fifth season, Frank and Andy speak to Chris Wexler about using AI to protect the vulnerable. Speaking of which, I would like to advise you, dear listener, that this show touches on some sensitive areas, namely child sexual abuse materials. If you have little ears or sensitive persons within listening range, you may want to pause or skip this episode. Transcript00:00:00 BAILey Hello and welcome to data driven, the podcast where we explore the emerging fields of data science and artificial intelligence. 00:00:07 BAILey In this second episode of the 5th season, Frank and Andy speak to Chris Wexler about using AI to protect the vulnerable. 00:00:13 BAILey Speaking of which, I would like to advise you, dear listener, that this show touches on some sensitive areas, namely child sexual. 00:00:20 BAILey Abuse materials. 00:00:22 BAILey If you have little ears or sensitive persons within listening range, you may want to pause or skip this episode. 00:00:28 BAILey Don't say we didn't warn you. 00:00:30 BAILey Now on with the show. 00:00:31 Frank Hello and welcome to data driven, the podcast where we explore the emerging fields of data science, machine learning and artificial intelligence. 00:00:39 Frank If you like to think of data as the new oil, then you can think of us as well Car Talk because we focus on where the rubber meets the verb. 00:00:46 Frank Road and with me on this epic virtual road trip down the information superhighway, as always is Andy Lander. How's it going, Andy? 00:00:54 Andy Good Frank, how are you brother? 00:00:56 Frank I'm doing alright, I'm doing alright. We've had a chaotic week at Chateau Lavinia we. We ended up going to Baltimore in the middle of the night on. 00:01:05 Frank Wednesday, wow, so you pick up. 00:01:06 Andy Wow, what was in Baltimore? 00:01:06 Andy What was in Baltimore? 00:01:09 Frank A really good pizza, but mostly we went because there was a situation bad situation where the pit bull that was about to go to a shelter and so we do a lot of fostering and rescuing of dogs. 00:01:25 Frank So we just got her out and we've spent kind of the rest of the week all over our free time trying to find our new home and she landed in the new home on Saturday and she's doing great. So that's. 00:01:37 Andy That's awesome, and it's really it's really awesome y'all do that kind of stuff. 00:01:41 Yeah. 00:01:42 Frank Yeah, I always wanted to do it, but it only and it's only been in the last. You know, maybe like 5-10 years I've been able to do it, so we've been doing that. 00:01:51 Frank Cool, the risk of fostering is primarily foster failing. How we we got our current dog count up to five. 00:01:59 Frank Uh, while twelve. That weekend, my wife and I counted it like 12 dogs who kind of come through our house the last two years. Three years. 00:02:06 Andy Nice. 00:02:07 Frank So it's a good thing to do. We have the space to do it and. 00:02:12 Frank You know at the time this one, we didn't know anything about, so we had to kind of keep her isolated. 00:02:17 Frank So we had like this airlock system. She's a super sweetheart with people, but she's kind of iffy around other dogs and she she's super strong. So once she had her mind to do something it takes a lot of effort. 00:02:18 Andy Light. 00:02:25 Right? 00:02:32 Frank To corral her. 00:02:34 Frank But she's super happy. She's the only...
In this episode of Data Driven, Frank and Andy chat with Philadelphia Microsoft Technology Center Data Architect Dave Wentzel on why you do not need a data warehouse. Also, Frank discusses leaving Microsoft, Frank and Andy talk about five seasons of Data Driven, and even BAILeY has a sentimental moment. Transcripts00:00:00 BAILey Hello and welcome to data driven, the podcast where we explore the emerging wait a tick. This is the premiere episode of Season Five. Can you believe it? Data driven started four years ago this month. 00:00:14 BAILey Up until last season, we had a human doing the voiceover work. That is until she was replaced by an AI. Yours truly. 00:00:23 BAILey In this episode, Frank and Andy speak to Dave Wensel about why you don't need a datawarehouse. We're starting off the new season with a bit of contrarian tone. 00:00:33 BAILey It's a lively back and forth conversation that runs contrary to prevailing wisdom. Don't say we didn't warn you? Now on with the show. 00:00:41 Frank Hello and welcome to data driven. The podcasts were we wait a minute. We've been saying this Andy for four years now. Can you believe it? 00:00:48 Andy Four years, that's crazy talk. 00:00:52 Frank That's just craziness. So I think when you and I first talked about this and that was that fateful, I think it was December was right after Thanksgiving. But before Christmas, I was thinking about starting a podcast and as a data scientist, I needed someone. 00:01:01 Andy Yeah, yeah. 00:01:09 Frank That was a data engineer that could kind of round out the talent there and and and and obviously I wanted someone I knew, liked, and trust. 00:01:11 Frank Found out. 00:01:11 Frank 00:01:22 Frank And so it was you. 00:01:25 Andy Well, I'm just glad all of the real smart data engineers you knew were busy. That's all I got to say. 00:01:25 Frank Much. 00:01:30 Frank Ah, no man. You were the first one. I reached out to and the only one I would have done it with it. So I was delighted when you said yes because starting a podcast can sound like a daunting thing, particularly if you haven't done it before. 00:01:44 Andy Yeah, neither one of us really had. And gosh, it's it's worked out. What are we up to? 180,000 downloads or something? I mean that's. 00:01:52 Frank Something. 00:01:53 Frank Like that about hundred 8000 downloads. I mean, we're not Joe Rogan, but that's OK, Yep. 00:01:55 Yeah. 00:01:57 Andy No. 00:01:59 Andy Yep, Yep. 00:01:59 Andy Yep. 00:02:01 Frank But you know what, we we we've impacted. I think the community in a significant way. We've we've done a number of things we've we've innovative how we podcast. 00:02:12 Frank Uh, we we've actually managed to keep a good cadence with some exceptions. 00:02:18 Andy Yeah, thanks. 00:02:19 Frank You know, we we finally did earlier this year or late last year, kind of fulfill our vision of it being data driven TV when we actually interviewed guests on. 00:02:27 Andy Yes. 00:02:32 Frank On video. 00:02:33 Frank And that was that actually delayed the launch of the show by about three months. 00:02:38 Andy It did but also uhm. Yeah, that was interesting, but you know it's typical software development, right? You release a feature and then you debug it. The I have this saying about that Frank. All software is tested some...
In this episode, Frank and Andy speak to Carlos Chacon about data community, family, and messy data in legacy CRM systems. Transcript 00:00:00 BAILey Hello and welcome to data driven, the podcast where we explore the emerging wait a tick. This is the premiere episode of Season Five. Can you believe it? Data driven started four years ago this month. 00:00:14 BAILey Up until last season, we had a human doing the voiceover work. That is until she was replaced by an AI. Yours truly. 00:00:23 BAILey In this episode, Frank and Andy speak to Dave Wensel about why you don't need a datawarehouse. We're starting off the new season with a bit of contrarian tone. 00:00:33 BAILey It's a lively back and forth conversation that runs contrary to prevailing wisdom. Don't say we didn't warn you? Now on with the show. 00:00:41 Frank Hello and welcome to data driven. The podcasts were we wait a minute. We've been saying this Andy for four years now. Can you believe it? 00:00:48 Andy Four years, that's crazy talk. 00:00:52 Frank That's just craziness. So I think when you and I first talked about this and that was that fateful, I think it was December was right after Thanksgiving. But before Christmas, I was thinking about starting a podcast and as a data scientist, I needed someone. 00:01:01 Andy Yeah, yeah. 00:01:09 Frank That was a data engineer that could kind of round out the talent there and and and and obviously I wanted someone I knew, liked, and trust. 00:01:11 Frank Found out. 00:01:11 Frank 00:01:22 Frank And so it was you. 00:01:25 Andy Well, I'm just glad all of the real smart data engineers you knew were busy. That's all I got to say. 00:01:25 Frank Much. 00:01:30 Frank Ah, no man. You were the first one. I reached out to and the only one I would have done it with it. So I was delighted when you said yes because starting a podcast can sound like a daunting thing, particularly if you haven't done it before. 00:01:44 Andy Yeah, neither one of us really had. And gosh, it's it's worked out. What are we up to? 180,000 downloads or something? I mean that's. 00:01:52 Frank Something. 00:01:53 Frank Like that about hundred 8000 downloads. I mean, we're not Joe Rogan, but that's OK, Yep. 00:01:55 Yeah. 00:01:57 Andy No. 00:01:59 Andy Yep, Yep. 00:01:59 Andy Yep. 00:02:01 Frank But you know what, we we we've impacted. I think the community in a significant way. We've we've done a number of things we've we've innovative how we podcast. 00:02:12 Frank Uh, we we've actually managed to keep a good cadence with some exceptions. 00:02:18 Andy Yeah, thanks. 00:02:19 Frank You know, we we finally did earlier this year or late last year, kind of fulfill our vision of it being data driven TV when we actually interviewed guests on. 00:02:27 Andy Yes. 00:02:32 Frank On video. 00:02:33 Frank And that was that actually delayed the launch of the show by about three months. 00:02:38 Andy It did but also uhm. Yeah, that was interesting, but you know it's typical software development, right? You release a feature and then you debug it. The I have this saying about that Frank. All software is tested some intentionally. 00:02:52 Frank Sometimes. 00:02:53 Andy Right? 00:02:56 Frank I love it, but I also like how, how, how both our...
In this episode Frank and Andy have a chat with Chris Gherardini on the role of data in ERP and CRM Systems. Transcript00:00:00 BAILey Hello and welcome to data driven, the podcast where we explore the emerging fields of data science, machine learning and artificial intelligence. In this episode, Frank and Andy speak to Chris Gardini about the role data plays in ERP and CRM systems. 00:00:17 Frank Hello and welcome back to data driven. The podcast where we explore the emerging fields of data science, machine learning and artificial intelligence. If you like to think of data as the new oil, then you can think of us like Car Talk because we focus on where the rubber meets the road. Although there's not much of a road trip usually on this virtual road trip. 00:00:37 Frank Is Andy Leonard? How's it going, Andy? 00:00:40 Andy Hey Frank, it's going really well. How are you doing? 00:00:43 Frank I'm doing alright, you know, with the exception I might have to buy a new desktop computer. 00:00:48 Andy Ah, I have not. 00:00:49 Frank Possibly, or power supply. Literally. We were on this call and all of a sudden everything froze and I was like Oh well, blue screen. Big deal. 00:00:59 Frank And then when I went to power it back on. 00:01:03 Frank It just kept keeps beeping so I'm like oh, fee something something hard so I'm going to have to do some search engine work and possibly get a new power supply or something. 00:01:06 Andy Codes. 00:01:13 Frank Fortunately, micro center. 00:01:14 Andy Everything is. 00:01:17 Andy Go ahead. 00:01:17 Andy 00:01:17 Andy I've gotta say Frank, everything is figure out able right? 00:01:21 Frank Everything is figure out able because of my experience with clear DB and all sorts of other drama. I have multiple backups of just about everything it if if you know so it's it's. It'll be an inconvenience, not a tragedy. 00:01:32 Andy Outstanding. 00:01:37 Frank But every opportunity to come back from a complete backup failure is an opportunity to learn. 00:01:47 Frank And, uhm, Speaking of opportunity, it's really good timing that this guest is here because I as folks know I work at the Microsoft Technology Center in Reston and recently. 00:02:00 Frank There was a, uh, someone we were on this engagement and it was very heavy into dynamics and uh, dynamics is one of those things. I haven't really looked into Andy and I have been experimenting with power apps and power platform, mostly to kind of help automate a lot of our content. 00:02:21 Frank Production. 00:02:22 Chris This is crucial as we. 00:02:24 Frank Continue to put the final touches on our secret project, but this guest here is an expert in dynamics as well as various ERP solutions. 00:02:36 Frank And he's from Saint Louis, and his name is Christian. I'm really blowing this intro here. His name is Cristiano Gardeny. Did I pronounce that right? 00:02:48 Chris Cristiano Guardian yeah, he pulled our sounded out there so. 00:02:48 Frank OK good good. 00:02:51 Frank He did fine, got it. Sorry about that. He's the president and owner of Turnkey Technologies and they are a Microsoft partner. I did looking around on their website and they are basically they provide development, analytics, training and support services for Microsoft Dynamics. 00:03:09 Frank If you don't know what Microsoft Dynamics is, a lot of people don't. In the data world tend to just know it...
In this livestream, Frank and Andy talk about geothermal energy, solar power, and why you should never say not to Clippy.
In this episode of Data Driven, Frank and Andy speak with Peter Voss about Artificial General Intelligence, Personalizing Personal Assistants, and Motorcycles Sponsorhttp://thedatadrivenbook.com/ () Sponsor: http://thedatadrivenbook.com/ (Audible.com) - Get a free audio book and support DataDriven - visit http://thedatadrivenbook.com/ (thedatadrivenbook.com)! Guest BioPeter Voss is the world’s foremost authority in Artificial General Intelligence. His company Aigo (https://www.aigo.ai/ (https://www.aigo.ai/)) has created the world’s first intelligent cognitive assistant. Aigo was funded with a personal investment of $10 million dollars. They currently manage millions of personalized customer service inquiries for household name-brands Notable Quoteshttps://aigo.ai/ (Aigo) is Peter's company. BAILeY's Introduction (00:00) The east coast has been blanketed with snow. (01:30) https://www.amazon.com/James-S-A-Corey/e/B004AQ1W8Y?ref=sr_ntt_srch_lnk_3&qid=1612291145&sr=8-3 (The Expanse) books (03:00) Coding for curiosity? - Frank (11:50) "Models don't dynamically learn." - Peter (13:00) Three waves: Logic programming, Deep learning / neural networks, cognitive architecture / intelligence (14:00) Intelligence v. sentience? - Frank (15:50) What about bots being "led astray?" - Andy (18:30) On programming morality... (21:30) AI Safety is a better description - Peter (22:30) Asimov's three laws of robotics - Frank (23:15) On delimmas - Peter (24:15) "Morality should be about human flourishing." - Peter (25:15) Are we using digital means to do something analog? - Andy (27:55) Peter is trained as an electronics engineer. (28:05) "Context is always super-important." - Peter (28:30) "You need a feedback system." - Peter (30:00) https://aigo.ai/ (AIGO) is Peter's company. (31:00) The three meanings of personal. (34:00) "Exo-cortex" (33:50) On context switches (38:30) Did you find AI or did AI find you? (41:00) "I took five years off to study..." - Peter (43:00) What's your favorite part of your current gig? (44:10) When I'm not working, I enjoy ___. (45:00) I think the coolest thing in technology today is ___. (45:30) I look forward to the day when I can use technology to ___. (46:25) Something interesting or different about yourself (47:00) https://www.amazon.com/How-Not-to-Die-audiobook/dp/B016CME5B4/ (How Not to Die) (48:00) Where can people learn more about Peter? (49:00) Book reading / listening recommendations? (49:00) https://www.amazon.com/Minds-Fantasies-Reflections-Self-Soul/dp/0465030912 (The Mind's I) (50:00) https://medium.com/@petervoss/my-ai-articles-f154c5adfd37 (Peter's articles on Medium) (52:00) Get a free audio book and support DataDriven - visit http://thedatadrivenbook.com/ (thedatadrivenbook.com)! (00:00) TranscriptThe following transcript is AI generated. 00:00:01 BAILeY Hello and welcome to data driven. 00:00:03 BAILeY The podcast where we explore the emerging fields of data science, machine learning, and artificial intelligence. 00:00:11 BAILeY In this episode, Frank and Andy speak with Peter Voss, peterboat. 00:00:15 BAILeY Peter Voss is the world's foremost authority, an artificial general intelligence or AGI. 00:00:21 BAILeY In fact, he is the one who coined the term in 2001 and published a book on the topic in 2002. 00:00:28 BAILeY He is a serial. 00:00:29 BAILeY AI entrepreneur technology innovator who has for the past 20 years, then dedicated to advancing artificial general intelligence. 00:00:38 BAILeY Today he is focused on his company, IGO, which is developing and selling increasingly advanced AGI systems for large enterprise customers. 00:00:47 BAILeY Peter also has a keen interest in the interrelationship between philosophy, psychology, ethics, futurism and computer science. 00:00:56 BAILeY I think you will find this interview a fascinating look at the future of AI. 00:01:01 BAILeY Now on with the show. 00:01:05 Frank...
In this episode, Frank and Andy speak with Dan Burcaw on Entrepreneurship, Using AI to Stop Customer Churn, and Deploying Code onto Nuclear Submarines. Show Notes
TranscriptThe following transcript is AI generated. 00:00:00 BAILeY Hello and welcome to data driven. 00:00:02 BAILeY The podcast where we explore the emerging fields of data science, machine learning, and artificial intelligence. 00:00:09 BAILeY In this episode, Frank and Andy speak with Dan Burke or Dan is a serial entrepreneur who has founded four companies each on the forefront of a major technology wave, open source software, the smartphone. 00:00:23 BAILeY Cloud computing and now machine learning. 00:00:26 BAILeY Currently he leads Nam Eml, a company focused on helping app developers start and grow mobile subscription businesses. 00:00:34 BAILeY If you follow Frank and or Andy on social media, you certainly have heard them bang on about their secret project. 00:00:41 BAILeY I will drop a one word hint here foreshadowing. 00:00:45 BAILeY Now on with the show. 00:00:48 Frank Hello and welcome back to data driven. 00:00:50 Frank The podcast where we explore the emerging fields of data science machine learning, an artificial intelligence, and if you like to think of data as the new oil, then you could consider us Car Talk. 00:01:02 Frank Because we focus on where the rubber hits the road. 00:01:05 Frank So with that as my guest on this pandemic road trip, that hasn't happened. 00:01:13 Yeah. 00:01:13 Frank By my copilot here is Andy Leonard. 00:01:16 Frank How you doing Andy? 00:01:17 Andy Hey, I'm doing pretty good Frank how are you? 00:01:20 Frank I'm doing well, I'm doing well. 00:01:21 Frank I had a kind of an architecture session this morning, so that went really well. 00:01:27 Frank It was. 00:01:28 Frank It was an interesting conversation and I love doing those. 00:01:31 Frank Those are always fun. 00:01:32 Frank How about? 00:01:32 Andy Yeah. 00:01:33 Andy Yeah, so I'm proofing the next book. 00:01:36 Andy Proofing is the absolute last chance to remove all of the typos I've left in. 00:01:42 Andy As I've gone through the last three full edit sessions and there's still some there. 00:01:47 Andy Frank, I'm convinced that the next book is going to have, you know, have a fair share of those. 00:01:52 Andy What I'm really concerned about. 00:01:54 Andy Is making sure that the demos work an yeah that's you know it's it's tedious and it's the LastPass so you know it's like is this over yet? Yeah, I'm sick and tired of reading this guy's writing and it's me so. 00:02:10 Andy Yeah no. 00:02:10 Andy But yeah. 00:02:12 Frank That was the hardest part. 00:02:13 Frank People asking. 00:02:14 Frank Like when I wrote a book on Silverlight an aside from it being about Silverlight, the hardest thing wasn't so much writing, it was having to go back and re edit my own stuff and like. 00:02:24 Frank You know, and I would look at it and be like man like I'm a terrible or. 00:02:28 Andy That's I have said over and over again to my computer monitor who wrote this crap. 00:02:33 Andy By a friend if you live. 00:02:33 Andy But Fortunately for this is a second edition, so an it's one of those second editions where I kept the first 10 or 11 chapters. 00:02:43 Andy I I changed from my writing language. 00:02:46 Andy I wrote it like three years ago. 00:02:48 Andy And I really this grew out of a series of blog posts that I wrote back in 2012. It was all in VB back then, Visual Basic. And so I wrote it that way in 2017 and for the 2nd edition I went back and updated all of that. That's really the only thing I changed was I went to C sharp. 00:03:06 Andy An I kind of needed to because the rest of the book was going to be in C sharp anyway. 00:03:12 Andy And so yeah, that's that's kind of how it went. 00:03:15 Andy And for anybody listen, it thinks wow, Andy is smart. 00:03:18 Andy He's written
In this episode, Frank and Andy talk about staying motivated in the new year, answer questions from the audience, and share a little about their secret project. This episode was originally recorded on an impromptu livestream and in a delightful surprise Andy was able to join.
In this episode, Frank offers some encouragement for people hoping for a better year in 2021.
This episode was originally recorded on an impromptu livestream and
In this episode, Frank interview Baby Supriya about her journey from student to professional data scientist. Transcript coming soon.
In this Thanksgiving Data Point, Frank sends a special message of thanks to you, the best audience in the world! Show NotesDid AT&T Predict the Future? http://franksworld.com/2020/11/26/did-att-predict-the-future/ Transcript 00:00:00 Frank Hey, what's up is Frank here from data driven? Just wanted to take a moment here. It's Thanksgiving here in the US. I'm actually sitting by the by the ocean on the beach. 00:00:15 Frank And it's a beautiful day. 00:00:19 Frank And God. 00:00:21 Frank Some interesting interesting email the other day from website called Pod Stats or Pod Status. You'll see I have my other production assistant with me, but I just wanted to say thank you to all the listeners who helped made data driven successful over the years. Can't believe that tomorrow. 00:00:42 Frank It's been four years since I had the idea for data driven. Next week will probably be. It'll be about four years since I asked Andy to be the cohost we've been rocking it pretty well. We're at about 160,000 downloads. 00:00:55 Frank 265 or 266 shows an. 00:01:03 Frank Just wanted to say thank you. 00:01:05 Frank Actually got an interesting email the other day from a website called Pod Stats Pod status. 00:01:11 Frank And apparently we are very highly ranked where the 29th ranked podcast in technology in Italy. So I want to say gratze. We also rank very high and definitely in the top 50. In Sweden, Thailand, Norway in Brazil. 00:01:30 Frank So thank you, I only know how to say thank you in. 00:01:35 Frank Italian sorry, but I would have to go back and figure out how to say it in those other languages. 00:01:46 Frank I'm sorry about that, but I will go back and figure out how to say it in the other language is another thing. If you've been very eagle eyed in terms of our show notes and the transcriptions. 00:01:57 Frank Uh. 00:01:58 Frank We have we have a name now for the AI voice over Lady probably do more formal show on it. But you know what? 00:02:07 Frank Not gonna do it, figured I would just get the information out. Right now we call her Bailey which is an acronym for British AI Lady. You can look in the transcripts. You'll see her kind of listed as there is a name. 00:02:23 Frank Interestingly enough, we changed up how we do our transcripts. I used to use video indexer but now word online you can actually upload the audio file, the MP3 file and it will actually not only do the transcription and the timestamp, but actually the speaker identification too. So we actually test this out. 00:02:45 Frank And it's pretty accurate, so you'll so hopefully now are. 00:02:52 Frank Hopefully now are. 00:02:55 Frank Our transcripts are much more accessible. That's something we've been meaning to do and. 00:03:01 Frank Yeah, oh, I see Andy's on hey what's up? Andy yeah we I shared that email with you and yeah, we are we're we're we're reaching the top 30 this is pretty good I'm I'm excited I'm happy about the show. Happy I'm thankful Thanksgiving right? 00:03:18 Frank So I'm thankful for having Andy as a good friend and a cohost on this journey on this epic road trip down the information superhighway. As we say in our standard intro and but he was basically talking about all the things that look very futuristic in those commercials and. 00:03:39 Frank The my dog is about to pull my arm off. I can feel it. 00:03:43 Frank And. 00:03:46 Frank So. 00:03:47 Frank Yeah, so it's interesting
In this Data Point, Frank livestreams from the beach to talk about how sometimes specific predictions of the future are correct, even if they miss some details. In the 1990s, AT&T ran a series of commercials, highlighting the ways in which the internet would transform our lives. One that stands out is the prediction that we would eventually send faxes from the beach. In 2020, the fax machine is somewhat of a relic. In the 90s, the concept of livestreaming on a platform like Facebook, would have seemed too far fetched at the time. Show Notes Sending a fax from the beach: https://www.youtube.com/watch?v=2kfIFDX9kE4 Data Driven Merchandise: https://www.amazon.com/s?rh=n%3A7141123011%2Cp_4%3AData+Driven&ref=w_bl_sl_s_ap_web_7141123011 TranscriptComing soon
In this episode, Frank and Andy interview Dana Mantilia on Why Humans are the Weakest Link in CyberSecurity. Watch Original Livestreamhttps://www.linkedin.com/posts/frank-lavigne_data-driven-live-with-dana-mantilia-activity-6735628251328204800-Qjwq Show NotesComing soon! TranscriptAI Generated 00:00:05 BAILeY Hello and welcome to data driven. 00:00:08 BAILeY The podcast where we explore the emerging fields of data science, machine learning and artificial intelligence. 00:00:16 BAILeY In this episode, Frank and Andy speak to Dana Mantilia about cybersecurity and why companies are not investing their time and attention where they should be. 00:00:26 BAILeY This episode was originally recorded on a live stream and this was the first time we had a guest join us on the life stream for a show. 00:00:34 BAILeY Season 4 just keeps the innovations coming. 00:00:38 BAILeY Without further ado, here are your hosts Frank Lavigna and Andy Leonard. 00:00:44 Frank Alright, thanks for tuning into data driven. If you're watching this live, thank you for taking time out of your day. I realize this being the lead up to the Holidays. Things are kind of hectic. I know in Chateau Lavigna things are very hectic today. 00:00:59 Frank We 00:01:00 Frank Andy and I are happy to announce a new guest that we have with us. I first saw her on LinkedIn when she would do these really cool training videos. 00:01:10 Frank On basically security topics. 00:01:14 Frank An with with Black Friday, literally a week from now Cyber Monday and the just the The Creativity alarmingly creative and flexibility of scammers that we've had in light of the kovid, pandemic etc etc. 00:01:32 Frank I figured it would be worth having kind of a good discussion about just the basics of cyber security and why it's important my wife happens to be in the cyber security field, so I'd like to think that I'm better prepared, but I know if you think you're better prepared, that's probably a vulnerability. 00:01:50 Frank So welcome to the show, Dana. 00:01:52 Dana Well, thank you for having me nice to be here. 00:01:55 Frank So this is you are actually the 1st guest. We're going to have on the show that we interviewed live on a live stream first on video. 00:02:02 Dana Very honored, very. 00:02:03 Frank Honored so awesome. We're trying to push the boundaries for season four, so tell us a little bit about you and your company for those that haven't seen your videos on LinkedIn. 00:02:15 Dana OK sure yeah. My name is Dana Mantilia an I am the founder of identity Protection Planning an we tried to help educate people in very layman's terms on how they can protect themselves from identity thieves and cybercriminals. And so we have a variety of different kinds of training. Either you know, training data, webinars, some videos or we have an on line. 00:02:35 Dana Platform that's short little videos that everyone is required to watch. 00:02:38 Dana And just to kind of start spreading the word, I mean cybersecurity is not going away and unfortunately the the frontline workers are the people that really are maybe not educated on it and they also are the ones that are clicking on things they shouldn't be clicking on so. 00:02:54 Frank No, so that's a good point. So one of your most recent videos, and this is the one that made me think we should have her on the show. 00:03:00 Frank Was the one the gift card scam and how? 00:03:04 Frank Somebody in your organization got snared up in this. 00:03:08 Dana Yeah, I mean it's. 00:03:09 Dana It's crazy, I mean that the way that I did that little video is how exactly how it happened. She came to my office door with her codon and I said, well, why do you have your code on and she said, oh I'm going to get that stuff you need and I said well, what stuff are you talking about? And she said this stuff, we were just messaging back and forth about. I said I was. I've been sitting here at my office just doing work
About a year ago, I read AI Superpowers by Kai-Fu Lee which details the struggle between the US and China for AI supremacy in the 21st century, That got me thinking about a map I once made for the School of AI. The US vs China debate leaves out one key player: India. Related LinksIndia- The next emerging superpower in artificial intelligencehttps://smefutures.com/india-the-next-emerging-superpower-in-artificial-intelligence/ Original Livestream https://www.linkedin.com/posts/frank-lavigne_the-third-ai-superpower-activity-6732059581536600064-1_3M
This episode kicks off Season 4 of the show and we are quite excited to have Rick Hall to talk to us about data analytics, entrepreneurship, and the impact of COVID on remote work. About Rick Hallhttps://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fkitcaster.com%2Frick-hall%2F&data=04%7C01%7C%7C474fe5eb2c394812730a08d8747dba18%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637387430618549312%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=lL4rwORRcg7brwHm4gtPfU3VpKHvLnLOKq3r8f1X2Ho%3D&reserved=0 (Rick Hall ) is a software entrepreneur focused on the analytics market. He has led the development of over a dozen software products and taken several companies from the early stage to an eventual sale. He has been working in analytics and software for 30 years and has been apart of the evolution of several generations of technology and practices. Currently, he is the CEO at https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.aginity.com%2F&data=04%7C01%7C%7C474fe5eb2c394812730a08d8747dba18%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637387430618559307%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=er8Xs5FXnKLgfv8IbxY%2FX%2FqQEXS8LswNLNklfEXRvMc%3D&reserved=0 (Aginity Corporation)--Supercharge your SQL Experience with Analytics Management. Aginity Corporation is the only next-generation analytics management toolset designed specifically to empower analytic teams to take advantage of the top analytic platforms. Show Noteshttp://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) - Get a free audio book when you sign up for a free trial! Notable QuotesWelcome to Season 4! (01:00) https://impactquantum.com (ImpactQuantum) is our new podcast. (02:30) Rick owns and operates https://www.aginity.com/ (Aginity Corporation). (04:00) Shoutouts to Bill Baker and the BI Advisory Council. (05:00) "Stuff changes." (Paraphrased) (08:00) OG can stand for Old Guy or Original Gangster." - Frank (08:30) Getting data to the place where someone can actually use it for Analytics. (09:00) "First, you get the data," referring to ETL, data engineering, data integration, data quality... (09:45) Regarding https://en.wikipedia.org/wiki/GPT-3 (GPT-3) (11:45) "34 ways to measure coupons..." (14:20) "It's more of a biology problem." (14:50) On answering questions at the speed of business. (15:45) "So many business questions are answered, initially, in the heat of the moment." (17:30) A really honest answer on predicting the unpredictable. (18:35) "I think we'll be talking about Covid for the next 20 years." - Frank (20:00) Wait - did (THE) Rick Hall just say he listens to http://datadriven.tv (Data Driven)?? (21:15) On business travel and remote work during the pandemic... (22:30) Rick, on pay for software engineers in Silicon Valley. (23:30) "Innovation Happens Everywhere" - Frank (25:25) "Everyone hears the story of the Google's of the world..." (27:30) Rick started a company 10 Sep 2001. (28:15) "If you don't double-down at the moment of greatest risk, well, no one's going to do it for you." - Rick (29:00) "This is probably not the easiest way to make money." - Frank, on entrepreneurship (31:00) "Get it useful fast." - Rick on Lean (32:00) On starting lean and https://www.audible.com/pd/The-Lean-Startup-Audiobook/B005LXV0HI?qid=1604144761 (The Lean Startup). (32:45) On startups and the cloud... (35:45) He said it again! (THE) Rick Hall listens to http://datadriven.tv (Data Driven)! (36:40) Did you find data or did data find you? (38:00) "Just shut up and go do it!" - Rick's boss (39:00) What's the favorite part of your current gig? (40:45) When I'm not working, I enjoy ___. (42:00) I think the coolest thing in technology is ___. (42:25) On Microsoft Azure engineering...
In this Data Point, Frank visits the new Barnes and Noble location in Rockville, MD which is the first store in the US to sport the book retailer's new design. Oddly enough, it looks a lot like the Amazon brick and mortar bookstore just down the road in Bethesda. (see previous data point http://datadriven.tv/episodes/thoughts-on-amazons-brick-and-mortar-bookstore/ ) With less space and a revamped layout, you have to think that the store's design is much more data-driven. (Pun somewhat intended.)
In this episode, Frank and Andy explore voice assistants and the behind the scenes technology that makes them tick. AI Generated Transcript00:00:02 British Voiceover AI Lady Hello and welcome to data driven, the podcast where we explore the emerging fields of data science, machine learning and artificial intelligence and will not be the only AI generated voice today. As Frank and Andy interview, my Cousins Alexa, Cortana, Siri and the Google assistant. 00:00:18 British Voiceover AI Lady Now that I think of it, the Google assistant needs a proper name. 00:00:22 British Voiceover AI Lady Doesn't it? 00:00:23 British Voiceover AI Lady Without further ado, here are your hosts Frank Lavigna and Andy Leonard. 00:00:29 Frank So we're both together and we're going to be talking about voice assistants and kind of how they work and. 00:00:38 Frank Uh, we have some special guests with us today. 00:00:42 Frank Welcome once again, if you're just joining us live. It's Andy later tonight we are here and we are live streaming, data driven podcast where we explore the emerging fields of data science, machine learning an artificial intelligence. 00:00:55 Frank How are you doing Andy? 00:00:56 Andy I'm doing pretty good Frank. How are you? 00:00:59 Frank I'm doing well. I know you have a hard stop so I won't Yammer too long we have. 00:01:04 Frank Three special guests with us today. 00:01:06 Frank And E 3 three. 00:01:09 Frank That's a record. It is a record. 00:01:14 Frank These guests are. 00:01:19 Andy Alexa Hello Alexa. 00:01:22 Frank She's going to say hello back, I'm sure. 00:01:26 Andy Yeah. 00:01:28 Frank Cortana. 00:01:30 Andy Hello Cortana. 00:01:33 Frank And. 00:01:36 Frank On my phone, I have Google Assistant. 00:01:38 Andy Hello Google Assistant Hey Google. 00:01:41 Frank That didn't work. It now correctly phones on. Let me tell you whenever there's a training video or like a keynote where they talk about the integration between them. It's pandemonium in my Home Office, because I usually have all three and it's just harder pandemonium. 00:01:59 Frank So I want to switch to, so we're recording this last. If you're watching live. Thank you. If you're watching later, thank you. We always try to respond to the comments. I think we're pretty good about that. And if you're watching this, if you're listening to this on the podcast, I will try to transcribe everything I'm saying. So let me switch. 00:02:18 Frank Here. 00:02:19 Frank An I'll see if I can put us in the little bottom here, how do? 00:02:22 Frank I do that. 00:02:24 Frank There we go. 00:02:27 Frank Oh well anyway. 00:02:30 Andy So there we. 00:02:31 Andy Are were there this is a closed. 00:02:34 Frank Almost there, this is the. This is a quote. 00:02:38 Frank From Charles the 5th, who if you're not up in your history he was kind of a big deal. I think he was a hapsburg. I don't remember shame on me but he has this quote where he says I speak Spanish to God, Italian to women, French to men in German to my horse. 00:02:57 Frank Now you're probably wondering what the heck does this have to do with anything? Well, here's what it has to do with. 00:03:03 Frank Oh no, PowerPoint is going to crash. 00:03:07 Frank No, you can tell. 00:03:08 Frank We're live here we go. This is what I want to say. 00:03:11 Frank This is the my my modern take on this. I speak to Elexa when I'm home to Cortana. When I'm at work and Google Assistant when I'm in my car or have my phone with me. 00:03:24 Frank You can also replace that with Siri. I don't. I do have an iPad, but it's not with me. 00:03:28 Andy That's Frank, the 1st right. 00:03:30 Frank Frank the 1st. 00:03:34 Frank I rather like that I rather like that. 00:03:38 Frank So the idea here is you know how do these things work. 00:03:41 Frank You know what? 00:03:44 Frank An you know, in terms of the guests and and kind of things and I know you have a A...
This episode is entitled "This, Too, Shall Pass" and it was recorded Tuesday the eighth of September in this foul year of our Lord two thousand twenty. Frank and Andy tend to wander off the old conversational trail. But you knew that already. Thanks for listening to the Data Driven podcast. Visit us on the web at datadriven.tv and be sure to like us on Facebook. (Bonus points to you if you caught the Hunter Thompson reference in the intro) Recorded Live: https://www.youtube.com/watch?v=Tevc7Wr68OE (https://www.youtube.com/watch?v=Tevc7Wr68OE)
Transcription Coming Soon
In this DataPoint, Frank examines whether or not the new AI voice over tech really replaced a human or did it open up new creative options instead? Transcript Speaker 1 Hey, what's up? It's Frank here. Speaker 1 From data driven the podcast where we explore the emerging fields of data science machine learning and artificial intelligence, so the title of this data. Point is did AI take just take away someone's job. Well, yes, and no so here's an example so. Speaker 1 So rather, quantum answer, isn't it right? It's both yes and no at the same time. See what I did there? So this is actually in regards to the voice over artist that we used to have on the show, but for both data driven and. Speaker 1 Impact quantum but. Speaker 1 I just recorded something today for impact quantum, so this isn't this isn't just a cheap kind of product placement for the other show. This is a serious thing, so if we go and we listen to this. Speaker 2 Hello and welcome to this episode of impact quantum. This episode is titled freaking cubits how do they work? Speaker 1 So basically that is an artificially an AI generated voice that we've been using. Speaker 1 Probably since the three year anniversary prior to that we used someone an voiceover artist I found on fiber called shifty pop. Awesome work that she does. Speaker 1 Um and her turn around is pretty quick too, but. Speaker 1 She also doesn't do voiceover work anymore. She just singing kind of stuff which is still cool. So definitely check her out and tell her data driven center sent you. But the key here is that. Speaker 1 We would love to be in a position where budget Wise. We could have a voiceover artist custom do this. But just was never practical right for every show, however, with the AI. Speaker 1 I can. Speaker 1 Create a custom intro for every show and eventually a custom outro outro at the end too. Speaker 1 See we've done that were on data driven a few times an every episode of impact quantum has been that now part of that is just you know, practical right so I can type up what I need to type have the voice over artist say tweak the voice settings or whatever, although we have kind of a setting we like. Speaker 1 And hit generate and I have a wave file right away for MP3 actions. What generates. Speaker 1 Right away, right? So I have that instantaneous feedback, right? So there's the time and it doesn't cost me anything extra to do that. I I I spent $30 or something on some web based platform so it can actually pull in voice wave voice generation capabilities from Google, Amazon as well as as Azure so I have. Speaker 1 All that ability kind of depict the voices. Pick the accents. I can even do a child's voice a man's voice. I mean, it's obviously a lady's voice. I can do that. I can do that right away. I paid for it basically one time and I can get that. So in a sense. Speaker 1 I was actually having a discussion with my manager. Actually, wow, you've put somebody out of work. Speaker 1 And yes and No. Speaker 1 So I hired a voiceover artist three years ago. Speaker 1 Yeah, 3 1/2 years ago an I paid her I think was like ended up being $50 or so. So for less than the cost of re engaging her to do a voiceover I now can create custom voiceovers with different voices, different accents, different gender. Speaker 1 I can do all sorts different ages. I could do all sorts of things there, where as before I, I guess. I guess I could go through fiber and find that selection,...
Like Star Trek in the 90s we are creating a spin off series. The new show is called Impact Quantum and will focus on quantum computing. Additionally, Frank and Andy explain how they keep creating content despite having full schedules.
In this episode, Frank and Andy talk about why Data Engineering may be the next hot career, how Microsoft's culture has changed, and Frank's solar power experiments.
Transcription & show notes coming soon.
In this episode Frank and Andy talk about the "three Rs" of the 2020s: robots, retail, and reskilling. Original live stream link: https://www.linkedin.com/posts/frank-lavigne_data-driven-live-robots-data-and-retail-activity-6687056930667548672-tVKq (https://www.linkedin.com/posts/frank-lavigne_data-driven-live-robots-data-and-retail-activity-6687056930667548672-tVKq) Transcriptioncoming soon
In this Data Point, Frank sees a robot patrolling the aisles of his local Walmart and gets excited.
The robot scans shelves and helps identify what needs to be restocked and what's out of place. https://www.businessinsider.com/walmart-adding-robots-help-stock-shelves-to-650-more-stores-2020-1 (https://www.businessinsider.com/walmart-adding-robots-help-stock-shelves-to-650-more-stores-2020-1)
In this episode, Frank and Andy share their thoughts on three years of podcasting, stoicism, and climbing Mount Royal. Show NotesThis is the first show that we recorded via live stream. It also marks the debut of our AI voice over talent. SponsorGet a free audiobook on us at http://thedatadrivenbook.com/ (http://thedatadrivenbook.com/)
Transcription (AI Generated)
The following was generated by YouTube's caption system. 0:00:03.200,0:00:15.540 hey Andy how it's going good how are you
0:00:06.600,0:00:16.830 good I'm seeing a black screen and for
0:00:15.540,0:00:21.779 some reason the audios being piped
0:00:16.830,0:00:27.150 through you know are you input should be
0:00:21.779,0:00:29.640 my my camera does on the pair of B let
0:00:27.150,0:00:36.480 me try turning it off and back on again
0:00:29.640,0:00:40.670 I know you have a call so for those of
0:00:36.480,0:00:43.440 you joining us on YouTube and our
0:00:40.670,0:00:45.989 Facebook live page Andy and I are doing
0:00:43.440,0:00:49.039 an experiment and what's data science
0:00:45.989,0:00:53.489 without experiments right Andy so true
0:00:49.039,0:00:55.980 so how's my audio your audios awesome
0:00:53.489,0:01:00.469 okay could you hear
0:00:55.980,0:01:05.700 all right I've turned my camera on main
0:01:00.469,0:01:07.680 using the app that came with it so the
0:01:05.700,0:01:10.350 software that we were explaining for
0:01:07.680,0:01:14.220 folks and for you Andy I'll bring our
0:01:10.350,0:01:18.960 listeners into this the image we haven't
0:01:14.220,0:01:20.790 started three years ago plus or minus a
0:01:18.960,0:01:27.229 few weeks we wanted to hold off on the
0:01:20.790,0:01:30.060 celebrations for a number of reasons and
0:01:27.229,0:01:33.840 we originally envisioned this show to
0:01:30.060,0:01:37.110 become a video podcast so technology and
0:01:33.840,0:01:40.770 costs have come down that if Sumi Annie
0:01:37.110,0:01:45.360 gets his camera going we will be able to
0:01:40.770,0:01:49.770 do there we go I see yeah I am here I
0:01:45.360,0:01:53.250 found the Settings button awesome so
0:01:49.770,0:01:58.229 this is good this is good so we have the
0:01:53.250,0:01:59.219 ability now to kind of do something more
0:01:58.229,0:02:01.350 long a lot to think what we were
0:01:59.219,0:02:03.719 originally envisioned so as awesome as
0:02:01.350,0:02:05.520 you may think the show has been we
0:02:03.719,0:02:08.929 actually had even we had even grander
0:02:05.520,0:02:11.489 plans so this is just an experiment
0:02:08.929,0:02:12.770 might even put this live on the feed is
0:02:11.489,0:02:14.420 kind of like a
0:02:12.770,0:02:17.300 call it a data point how about that Andy
0:02:14.420,0:02:18.860 I like it I like that a lot because the
0:02:17.300,0:02:21.770 advantage is that because I'm using a
0:02:18.860,0:02:24.110 product called restream that I can pipe
0:02:21.770,0:02:25.340 two different output so this is actually
0:02:24.110,0:02:28.190 going to Frank's world TV YouTube
0:02:25.340,0:02:31.400 channel our Facebook live feed and
0:02:28.190,0:02:35.180 because of the magic of automation this
0:02:31.400,0:02:38.930 is also going to be I'm actually going
0:02:35.180,0:02:41.360 to once this ends will see that it
0:02:38.930,0:02:45.530 should pick up the arm the video feed
0:02:41.360,0:02:47.570 from Facebook and then pipe that into an
0:02:45.530,0:02:50.870 mp3 file which should be ready for
0:02:47.570,0:02:56.180 upload to the scene so again it's data
0:02:50.870,0:02:57.490 science right in data magic it's not
0:02:56.180,0:03:01.400 science
0:02:57.490,0:03:03.890 I told that to customers a lot like you...
In this episode, Frank and Andy talk with the legendary Bob Ward. Linkshttp://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) - Get a free audio book when you sign up for a free trial! Notable QuotesOn playing the "plague or pollen" game. (02:30) Regarding sportsball... (05:30) Virtual is the new norm. (06:30) Bob and Azure (07:30) Frank caught Bob in person at Microsoft Ready (08:15) On sharing code...(9:30) Bob on SQL Server 2019 Big Data Clusters (11:00) ... and PolyBase (12:30) "Keep the data where it lives, access it through the language you're familiar with." - Bob on PolyBase (13:48) Regarding Synapse (14:48) ...even for AS/400... (18:20) PolyBase as an incremental migration strategy... (19:30) COBOL, and more COBOL, and Y2K (20:30) "Buck Woody works with me..." - Bob Ward (21:00) An aside about NFL Football teams and rivalries. (23:00) We all miss baseball. (23:50) "Did you find data or did data find you?" (25:00) How Bob was recruited by Microsoft 26 years ago (26:45) https://twitter.com/AnalyticAnna (Anna Hoffman)... (28:15) Bob's Book: https://www.amazon.com/SQL-Server-2019-Revealed-Including/dp/148425418X (SQL Server 2019 Revealed) (31:00) "So this Bob Ward guy... he's kinda a big deal..." - Frank (32:45) "I have people like my wife to keep me humble." - Bob (34:00) "There's always somebody smarter..." - Bob (34:45) "The Silverlight apocalypse..." (35:30) "When I'm not working, I enjoy ____." (36:30) https://www.youtube.com/channel/UCOe_y6KKvS3PdIfb9q9pGug (Some Good News) (37:30) A Quiet Place (38:15) "I think the coolest thing in technology today is ____." (38:45) Bob started at Microsoft in 1993. (40:15) "There's no way somebody is going to put a SQL Server in the cloud." (42:00) http://franksworld.com/ (FranksWorld.com) (42:40) On remote training (44:00) "I look forward to the day when I can technology to ____." (45:30) "IoT-ness" - Bob, circa 2020 (46:40) "Share something different about myself." (48:00) "We're all screwing up!" (49:30) https://www.amazon.com/Grace-Greater-Overcome-Redeem-Rewrite/dp/0801019419 (Grace is Greater, by Kyle Idleman) (50:20) https://www.linkedin.com/in/bobwardms/ (Bob on LinkedIn) (51:30) aka.ms/bobwardms (51:45) aka.ms/sqlworkshops (52:30) https://www.amazon.com/Tom-Clancy/e/B000APF4T2 (Tom Clancy series) (53:00) https://www.amazon.com/Arthur-Conan-Doyle/e/B000AQ43GQ (Sherlock Holmes series) (54:00) https://www.imdb.com/title/tt1475582/ (Sherlock - BBC) (54:45) "John Krasinski is a great https://www.imdb.com/title/tt5057054/ (Jack Ryan)." - Bob (58:00) Transcript (AI Generated)Hello and welcome to data driven, the podcast where we explore the emerging field of data science. We bring the best minds in data, software, engineering, machine learning and artificial intelligence. Now hear your hosts Frank Lavigna and Andy Leonard. Hello and welcome back to data driven. The podcast or we explore the emerging fields of data science, machine learning and artificial intelligence. If you like to think of data as the new oil, then you can consider as well like Car Talk and with me on his epic road trip down. The information superhighway is Andy Leonard. Although. I think we are now currently in lock down so that road ship and has been postponed. It has and wow what a you know what an interesting time to live in right Frank. Right right, we are recording this on April 15th. You know it's serious when even the government postpones tax collection. True, yeah today would have been the day that your taxes were doing US, but they pushed it back. I forgot three months for months whatever. Yeah, yeah, three months, but it's in Julies coming up on my birthday. That's how I remember it. Like I need another paper. They give it kind of. Yeah exactly, but you know it's been an interesting day here. This I live in Virginia. You know? This uh,...
In this DataPoint, Frank goes off topic. Transcript (AI Generated) Hey, what's up? It's Frank here from data driven. The podcast where we explore the emerging fields of data science, machine learning, and artificial intelligence. I just wanted to take a minute to say I'm basically. Uh. What's going on? The show we we've been both kind of slammed. I've had some family issues I needed to take care of. I had the chance to release the show, but even all the Goings on last week or two it seemed inappropriate thing. I just take a pause and reflect and I actually had the chance today. To unplug, take a day off and. You know he was very refreshing, a kind of reconnect with my purpose. And realize, for instance, right now I'm I'm actually getting my car washed and it's been a long while and they're going to do the interior and stuff like that, but. You know, we pull up in there like how it's going to be an hour. It could be an hour or more and I'm like. It's OK. I mean there's a lot of you know we went to a restaurant was a week ago. And, uh. You know it was pretty clear that they reduce just to take out, and I think as things slowly get back to. Normal. People are adjusting. People are stressed out. For many reasons, and I think that's the importance of empathy right now. Any points of self care, I mean just I needed to have kind of a different work schedule this week because of some family commitments. But the key. Is I didn't have to really be unplugged today, but. I felt like I needed to and it definitely help help me reconnect with my purpose. Why we do the podcast all that stuff have an episode going out, probably. Midnight or tomorrow. I'll work on getting it, edit it out and published and dumb. You know we're gonna. Do that and I've got a really good gas. Really great conversation. It was about data about. It was really. It was a great conversation and poured it over a month ago an I hate when I pulled off a show that long. Not really what I intended but here we are and. Just wanted to just say the most important thing you can do for yourself, your family, but world is. Take care of yourself 1st and the second most important thing you can do is be apathetic towards folks. Make sure that you know. Take a deep breath before you get upset. You know I was like I was like Oh my God forsaken hour. He's like I could use it. Not a nice little shaded place were good and. There it is.
SalesForce, Microsoft, and Twitter have all extended their work from home policies either indefinitely or for the remainder of the year. To say that housing is expensive in the Bay Area would be an understatement. Frank ponders what will happen to the real estate market if you only go to the office once or twice a week? Or not at all? Why spend money to be near a place you no longer go to daily?
Transcript (AI Generated) Hey, what's up is Frank here from data driven, the podcast or we explore the emerging fields. Data science, machine learning and artificial intelligence. So uhm, today this morning. Actually, I read that Salesforce is allowing their workforce to work from home for the remainder of the Year this. Got me thinking. Uh, about other companies that have done that. Microsoft has at least last time I checked, working from home or going into the office is voluntary through at least October. It might be extended. Who knows? Twitter is said that they are going to make remote work possible indefinitely. I'm not sure Google stances, but I think when you see the big tech industries, the Big Giants in the tech industry is really what I want to say. Is they're all embracing work from home that is going to have enormous. I think implications across, well, every industry, but I think one of the ones that will be particularly impacted. Given that number of Bay Area Giants have kind of jumped on, this will be real estate real estate in the San Francisco area is notoriously expensive, and it's the stuff of almost jokes in terms of, you know, shack and cause a couple $1,000,000 and they'll be a bidding war for said Shack. I really wonder. Watt That will do for real estate, because if you could you could stay in California. Maybe move 3 four hours away from San Francisco or the Bay. And you can get a house that's more affordable. And if you are going to be working remotely indefinitely, or even when things kind of go back to normal, whatever, that will look like. You probably only be required to come in less than five days a week. Uh, you know, maybe a once a week, 4 hour commute. Each way maybe that won't be so bad. Uh, maybe maybe? I mean, that's really going to. I think that's really going to impact realestate ticular Lee in places like Silicon Valley and San Francisco, and possibly other places like New York, but I'm really curious to see what the data will say. So if you have that bad of a commute once a week, I think most people would be willing to tolerate that for more affordable housing an. You know, I don't know. I think that's really going to impact kind of not the high end 'cause I think people are always going to want to have some property there, but I really think it's really going to change. Kind of the lower to mid range of realestate all over. Let me not just San Francisco, but I can easily see this applying to New York, Seattle. Places where. Technology companies have really driven up the real estate recently. I don't know, you know, and you also have the opportunity that you know if you don't have to go into the office at all, why not move to Nebraska? You know where land is much cheaper than anywhere in California? I really think that when the dust shakes out of this and now that remote work is much more accepted, I think it's. I think we're going to see changes or unanticipated changes. I always like to say that one of the most powerful forces in the universe is actually. Unintended consequences, so I'm really curious to see how that goes. I can also imagine folks trying to sell real estate in this environment. Must be having a difficult time because you're basically asking people to kind of come and go into peoples homes. If you are real estate agent and you are dealing with this, my heart goes out to you. But if you like to talk on the show, kind of about how this is impacting you, I don't know. I think that...
In this Deep Dive, Frank and Andy delve into the world of Data Warehousing, what is it and do they know things? Let's find out! Frank also shares that he has a new role at Microsoft. AI Generated TranscriptionHello and welcome to data driven, the podcast where we explore the emerging field of data science. We bring the best minds in data, software, engineering, machine learning and artificial intelligence. Now hear your hosts Frank Lavigna and Andy Leonard. Hello and welcome back to data driven. The podcast where we explore the emerging fields of data science machine learning an artificial intelligence. If you like to think of data as the new oil then you could consider us like Car Talk. However, we can't go on a road trip because of the Corona virus lock down. So it's just Andy and I kind of stuck at home respectively. And thanks to the Magic of Technology we can be on the show at the same time. And, uh, how's it going? Andy? It's going well, Frank, how are you doing? Good, good, uh, you'll probably hear my kids in the background. We will, and you know what Frank, I think it's fine. You know I'm going to. I understand why you said the word stuck with you and I work remotely an awful lot. We usually record like this. There's there's less in the background. It's your place most of the time, but you have couple of young boys there and you need to be in the room with them when mom who's also working from home is you know is doing some of her work so kudos to you to both of you for finding a way to manage this. Everybody's going through these sorts of things and I'm sure that none of our listeners will mine here in your sons play in the background or hopefully won't start fighting so that's Well, I asked, I asked if they do I think a lot of folks can relate though. Yeah, oh absolutely, absolutely so. We're recording us on April 16th. We Speaking of kids, we had your son on which if the order of recording goes the way I planted in my head. That would have been released last week. And Uh, which I thought was a pretty good, uh, discussion on. How stem is taught? How stemmers perceived by quota quote policymakers? And how the actuality of it is? And some of the interesting stuff your son is doing with Raspberry Pi and stuff like that. Yeah, I was a I was first I was very proud of him. You know the work that he's doing and he's he's had his his hands in machine learning for really a couple of three years. Now I want to say he was 14 and I came into his room. You know just checking on say something or something I saw. A Mario Brothers playing in the background. Like what do you think you know he was? He he had done his school work? He was home schooled at the time he done his school work. So you know what he wants. But um, later talking to him about it, he said he actually came and got me and he said, OK, dad, it took, you know with I think it was like 6. You know neural nodes. Here he was able to, Mario was able to figure this out and something like 4 hours or something you know later he said I wonder what it would be if I added a note. I wonder what that would do to it and I'm kind of sitting there with my mouth hanging open. Going show dad more about that nice, but he's been doing it for awhile. I know your kids are interested in the same thing. They're younger Stevie 17 now and you know. and I know that your sons are coming up in this. In this age as well, they are mentioned Mark Tapatio in that show as he referred to digital natives. They are digital natives and yeah, that comes with some pretty interesting stuff. So I'm just glad we were able to record that show as he gets ready for his first sequel Saturday presentation here on that topic. So and that's all assuming that we were able to overcome the technical glitch. We we learned something, Frank, I'd learn something. Yeah, it's not a glitch. If you learn something. So if if...
In this Data Point, Frank reflects on the somewhat ironic nature of our tagline (and t-shirts) in light of the negative price of Oil. This was recorded on Monday, April 20, 2020 and, while oil prices have rebounded somewhat, there are some strange things afoot at the Circle K that is this world.
In this episode, Frank and Andy interview Stephen Leonard, Andy's son, about his upcoming first SQL Saturday Talk, digital natives, engineering and STEM, and old movies like "Aliens" and "the Matrix." AI Generated Transcript (experimental) Hello and welcome to data driven, the podcast where we explore the emerging field of data science. We bring the best minds in data, software, engineering, machine learning and artificial intelligence. Now hear your hosts Frank Lavigna and Andy Leonard. Hello and welcome back to data driven, the podcast or we explore the emergent fields of data science machine learning an artificial intelligence. If you like to think of data as the new oil then you can consider us. Car Talk 'cause we focus on where the rubber meets the virtual road and with me on this epic journey road trip down information superhighway. Although I think we have to be sequestered because of the pandemic is Andy Leonard, how's it going? Andy, hey it's going well Frank, how are you doing, brother? You know I'm doing OK, I'm doing OK, we're in lockdown. I'm in. My wife is actually on an important work meeting and I have the kids. In the room with me so you might hear in a frequent interjection, but I understand that Speaking of kids, yeah, we have a very unique guest. We do, we do have Steven Ray. My older son is joining us for the first part of this an we want to talk to him because at least in this it is first part because he is about to deliver his very first sequel Saturday presentation. Yes Sir, very cool. So I know a little bit about the back story to this so. Steven, why don't you, uh, kind of do an intro to yourself. You're just. Quick bio I know and he probably knows everything about you, but most of the rest of his home. Well, I'm for the uninitiated. I'm Steven. I'm Andy's son and or as I normally refer to him. Dad, I do stuff with small AI and neural Nets. I also work with Raspberry pis specifically. Sorry iot devices, specifically Raspberry pie. Zan, Jetson, Nanos working a little bit less with the latter. Recently I've been doing more work with the pies. And, uh, pretty soon on the 25th I will be presenting my first sequel Saturday class and I guess I just got lucky enough to do it on the first several virtual SQL Saturday. Call it whatever you want, lock or unlucky based on the world events. I'll be teaching class on how to install SQL Server on a Raspberry Pi 3B and I'm working on a solution for the four as well. Very call and it's my understanding that you actually you're actually studying. Was it telerobotic? Not telerobotics but. Was it? Does a really cold like $10 word for it that Angie, Oh, Mecatronics Mecatronics That's it? Yes, Sir. Cartoon yes it does. I'm uh, it's It's, uh, it's really just all the I believe there are like 12 or 13 official realms of engineering, or at least the ones that they teach in college. And it's sort of all of those mixed into one like hyper focused, really hard class and I really just chose it because when I walk into the when I walk into a room, if someone has a question, I just want to be able to answer it. I want to be sort of the most helpful I can be and I figure if I'm well enough versed in. As much engineering as much as much of the realms of engineering as I can be, I figure I can be pretty helpful. That's pretty, that's the plan. A chip off the old block there Andy. Well, he, uh, you know his. I'll say Frank, he's probably better at it than me because his mom has a lot of background training in multitasking type tasks. She was 911 dispatcher for awhile and to graduate from that course. They they literally play five or six conversations at the same time. And she had to write down and track all of the conversations and respond accordingly. So it makes for a good project manager, which is awesome because I have exactly zero of those skills, so he has. He has more of that than
In this hybrid show and Data Point, Frank and Andy discuss the ongoing pandemic situation and how to help people laid off.
For the first time in a long time, Frank and Andy are in the same time zone with free time to record a full honest-to-goodness show.
In this Data Point, Andy explains how citizen data science is done in New Zealand after a whale watching tour.
In this Data Point, Andy talks to Reza Rad about the Difinity conference, being an RD, and the SQL Community.
In this Data Point, Andy catches up with Manohar Punna at Difinity 2020 to talk about self-service BI tools.
In this DataPoint, Frank talks with Marck Vaisman, fellow Cloud Solution Architect from DC, about data, the R community in DC, and that "aha moment."
In this Data Point, Frank tells us all about playing with Blockchain in a workshop at the Microsoft internal conference in Seattle.
In this Data Point, Frank records live from the streets of sunny Seattle (yes, you read that right) to talk about the cool tech he's seeing at an internal Microsoft training event.
In this Data Point, Frank shares his first impressions of Amazon's brick and mortar store in Bethesda, MD and why the future of retail is data driven. Also, here is the first book for the Data Driven Book Club: Data Loom by Stephen Few. Use the following affiliate link to help support the show! https://amzn.to/2TL0SMx
Thanks!
In this Data Point, Frank is live at Azure Data Fest Philly Winter 2020 and talks about LinkedIn Live.
In this Data Point, Frank talks about the nebulous buzzword of "real time" and why that's not as clear cut as it may seem. And how, if you run fast enough, maybe you can see how real time "real time" is at Sams' Club.
In this Data Point, Frank walks through the AI Summit expo area and explains the two things that will make him walk out of his way
In this DataPoint, Frank talks to Mark Tabladillo, who's nominated for a major AI award, about why search may be key to AI's future.
In this Data Point, Frank wanders into a real estate convention that's talking about tech. He then finds his way to the AI Summit and explains why every company is a data company now.
In this Data Point, Frank is up way too early, but it's all worth it for a chance to go to the AI Summit in NYC. If you're there, stop by the Forbes Lounge and say hello.
In this Data Point, Frank talks live from Azure Data Fest Boston and big plans for 2020.
In this Data Point, Frank speaks with Tim McAliley about Azure Data Fest's expansion out of DC and upcoming events.
In this Data Point, we celebrate a huge milestone in front of a very important donut shop. Thank you for being our loyal fans!
In this Data Point, Frank talks about one of his favorite parts of the MLADS conference: the Poster Demos. Essentially, the Poster Demos are an AI science fair, where researchers working on cutting edge projects show off their work.
In this Data Point, Frank reflects on another inspirational MLADS experience, plans for Black Friday https://www.amazon.com/s?rh=n%3A7141123011%2Cp_4%3AData+Driven&ref=w_bl_sl_s_ap_web_7141123011 (Data Driven merch) sales, and going 1000 miles per hour.
Data Driven Merch: https://www.amazon.com/s?rh=n%3A7141123011%2Cp_4%3AData+Driven&ref=w_bl_sl_s_ap_web_7141123011 (https://www.amazon.com/s?rh=n%3A7141123011%2Cp_4%3AData+Driven&ref=w_bl_sl_s_ap_web_7141123011)
Frank and Andy are finally back in the studio together to talk about PASS 2019, Frank's "secret mission," and the Data Driven Book Club? Also, more talk about data driven health with a continuous glucose monitor.
In this Data Point, Frank shares his fascination with a new health tech device that has changed the game for his health.
In this Data Point, Andy reflects on all the new announcements and happenings this week.
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.
Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/535717323652790/ (https://www.facebook.com/DataDrivenTV/videos/535717323652790/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV (https://www.facebook.com/DataDrivenTV) .
Like us on Facebook to be notified of when we go live.
In this Data Point, Andy talks to Pinal and Kevin about SQL Server messes and good SEO.
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/2427637377454643/ (https://www.facebook.com/DataDrivenTV/videos/2427637377454643/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV (https://www.facebook.com/DataDrivenTV)
Like us on Facebook to be notified of when we go live.
Andy walks around the PASS Sumitt 2019 expo floor and bumps into his favorite editor to brainstorm some new book ideas.
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.
Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/3136932926333654/ (https://www.facebook.com/DataDrivenTV/videos/3136932926333654/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV (https://www.facebook.com/DataDrivenTV) .
Like us on Facebook to be notified of when we go live.
In this Data Point, Andy takes you behind the scenes of the PASS 2019 Summit on his way to his presentation.
The livestream of the session Andy’s walking to is at http://franksworld.com/2019/11/06/ssis-devops-and-azure-containers/ (http://franksworld.com/2019/11/06/ssis-devops-and-azure-containers/)
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.
Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/2418536671736052/ (https://www.facebook.com/DataDrivenTV/videos/2418536671736052/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV (https://www.facebook.com/DataDrivenTV) .
Like us on Facebook to be notified of when we go live.
In this Data Point, Andy chats with CozyRoc co-founder Ivan Peev while roaming the expo floor at PASS 2019 Summit.
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.
Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/714319039080872/ (https://www.facebook.com/DataDrivenTV/videos/714319039080872/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV (https://www.facebook.com/DataDrivenTV).
Like us on Facebook to be notified of when we go live.
In this Data Point, Andy chats with SentryOne CEO Bob Potter while roaming the expo floor at PASS 2019 Summit.
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.
Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/2362966150499722/ (https://www.facebook.com/DataDrivenTV/videos/2362966150499722/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV.
Like us on Facebook to be notified of when we go live.
In this Data Point, Andy chats with SQL GEEKs while roaming the expo floor at PASS 2019 Summit.
This is part of our on going coverage of PASS 2019 Summit.
Let us know in the comments how we’re doing and what you’d like to see.
Live video version of this Data Point is at https://www.facebook.com/DataDrivenTV/videos/538984283584445/ (https://www.facebook.com/DataDrivenTV/videos/538984283584445/)
Watch all our live videos at https://www.facebook.com/DataDrivenTV (https://www.facebook.com/DataDrivenTV.)
Like us on Facebook to be notified of when we go live.
In this Data Point, Andy bumps into some familiar faces on the way to the PASS 2019 Welcome Reception where Grant Fritchey kicks off the festivities.
Link to https://www.cozyroc.com/ (CozyRoc)
Fun fact: Frank used to work with Grant Fritchey back in the 90s at a large investment bank on Wall Street. Small World.
Video version available at: https://www.facebook.com/DataDrivenTV/videos/790212794754980/ (https://www.facebook.com/DataDrivenTV/videos/790212794754980/)
In this Data Point, we follow Andy as he walks his way through PASS 2019 registration and into the rarefied air of the speakers’ area.
In this Data Point, Andy talks to us outside of a Waffle House in Raleigh about announcements from Ignite and his upcoming trip to the PASS Summit.
Transcript (experimental)
Hey all this is Andy an this is the beginning. Well, not really. It’s kind of in the middle of my trip to PASS Summit, 2019 looking forward to getting out to Seattle, catching up with old friends, making new friends. And we’re in my Redgate shirt today friend of Redgate Awesome company. Love you guys looking forward to seeing you all too. And I am in Raleigh. I am at Waffle House. No one who knows me will be surprised by that. And. I’m going to grab a quick bite to eat catch the first flight. And I’ve gotta connect and of course, every now and then I Get Lucky and get a direct flight from RDU to Seattle but exciting news out of ignite yesterday. If you didn’t get a chance to watch those keynotes. You can watch him on YouTube. They’re all over such a an the crew dropped a bunch of announcements about new cool tech coming out very impressed. I was very impressed by a lot of what I saw there. SQL Azure SQL, DW has been rebranded that was a big one. Just looking at this whole approach where they seem to be using the technology that they built to stack new technology on Top of it absolutely love that approach. This is the little individual units of technology are like design patterns and seeing them put those design patterns together in these little chunks together. I liken it to Legos. And they built the you know the bottom layers already and now they’re building on Top of that it’s pretty cool stuff. And you know, there’s a lot of marketing mix in their marketing is not a bad thing, but from a technology standpoint if it does any of what they said it does it still pretty good leap forward an I’m sure that it does it probably does more than they mentioned so as I head out this morning to breakfast. I hope all of you are having a great day. If you can’t make it just passed summit. There’s past TV and they’ll be showing the key notes from the past summit, you can watch the ignite. Keynotes as well, and it’s going to be a neat week, Anna in technology, so you’ll be good.
In this DataPoint, Frank explains why Siraj Raval has been and still can be a force for good and the democratization of AI.
In this DataPoint, Andy talks with Patrick Leblanc about some of the AI features of PowerBI live from SQL BI Saturday Atlanta.
Continuing our live coverage of Azure Data Fest Fall 2019 in Reston is this session by Frank La Vigne.
Neural Networks from the Ground Up Neural networks are an essential element of many advanced artificial intelligence (AI) solutions. However, few people understand the core mathematical or structural underpinnings of this concept. In this session, learn the basic structure of neural networks and how to build out a simple neural network from scratch with Python.
This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019.
You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/ (http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/)
Continuing our live coverage of Azure Data Fest Fall 2019 in Reston is this session by James Genus, Jr on Linux on Azure.
About the Speaker: James Genus Jr. has been working in technology for 25+ years across many industries including commercial, public and non-profit sectors. In 1997, he started using Linux which led to eventually working for Red Hat. Currently, he works for Microsoft as an Azure Cloud Solution Architect.
This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019.
You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/ (http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/)
Jay Kumar presents “Global Application Deployment for Scalability and Availability.”
A case study of app deployment in Azure using our PaaS services for high availability and scalability.
This session will cover a deployment of a globally available application architecture and best practices.
This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019.
You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/ (http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/)
In this special episode, Todd Dube & Julia Barnhart share their real world experiences with Azure Databricks working on a Fortune 500 website.
This episode was recorded live at the Azure Data Fest in Reston, VA on Oct 11, 2019.
You can watch the entire live stream here: http://franksworld.com/2019/10/11/azure-data-fest-reston-live-stream/
In this Data Point recorded live at Azure Data Fest Reston Fall 2019, Frank talk with Joel Cochran about Azure Data Factory, Billiards, and how there’s no school like the old school.
Original show with Joel: http://datadriven.tv/joel-cochran-data-politics-law-school-billiards/
In this Data Point, Frank explains why Amazon is winning the retail game and how you should transform your business to serve customers asynchronously or risk being left behind.
In this Data Point, Andy talks with Bill Wolf about SQL Saturday Pittsburgh, motorcycles, and the local slang.
In this DataPoint, Frank talks with fellow Cloud Solution Architect, Devin Jaswal, about the SQL Trail conference in Richmond, VA and serverless SQL.
Frank is at the Strata NYC conference today working the Microsoft booth. Stop by and say hello!
In this DataPoint, Frank reflects on how useful DataBricks is in a data warehousing environment. That and the importance of coffee after a red eye flight.
This week Frank is on vacation with his family in the North Carolina mountains where gem mining is a popular activity.
Ever the data geek, he notes the similarities between data mining and gem mining.
In this episode of Data Driven, Frank and Andy catch up with Brent Ozar and have a laugh or two at Silverlight’s expense, NoLock, and playing country music backwards.
Links http://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes Season 3 opened with http://datadriven.tv/inspiration-john-lee-dumas-tech-intensity-data-soup/ (John Lee Dumas aka JLD) ([01:30]) http://www.datasoupsummit.com (Data Soup Summit) ([02:00]) https://brentozar.com (Introducting Brent Ozar) ([05:00]) “Get out there!” – Brent Ozar ([08:30]) Data work pays better. ([13:45]) Brent started in hotel management ([15:00]) Data is the new oil… but we should avoid spills. ([16:15]) “The job is getting harder, not easier.” ([18:30]) The “Aha” moment and ER analogy. ([21:30]) Brent’s quote voice… ([22:00]) Brent’s “Bad News Doctor” voice ([22:45]) Andy throws NoLock under the bus. Brent helps. ([23:12]) On shrinking databases… ([24:30]) NoSQL ([26:30]) https://twitter.com/BuckWoodyMSFT (Name-drop: Buck Woody) ([28:30]) https://twitter.com/shanselman (Name-drop: Scott Hanselman) ([29:00]) https://www.facebook.com/andy.leonard/posts/10155299392198669 (Ballerina Princess) ([32:20]) Brent likes to travel. ([34:45]) “No one comes to me for a good time…” ([36:20]) The data is the choke-point. Again. ([38:30]) https://www.google.com/glass/start/ (On Google Glass) ([39:45]) On Past Brent… ([41:00]) https://twitter.com/kbriankelley (Name-drop: Brian Kelley) ([41:30]) “We’re published. It’s a license to spell.” ([42:10]) https://en.wikipedia.org/wiki/Down_and_Out_in_the_Magic_Kingdom (Book Reference: Down and Out in the Magic Kingdom) ([43:45]) https://www.crunchbase.com/organization/socialradar (Social Radar) ([44:45]) Regarding iTunes… ([45:00]) Brent is into restaurants. ([46:45]) Andy’s Brent Story… ([48:15]) Brent is here to help. ([50:00]) On paying it forward… ([51:30]) “This looks like an engineer built it” is not a compliment. ([52:30]) Learn more about Brent at https://brentozar.com (BrentOzar.com) ([53:00]) https://www.audible.com/pd/A-Guide-to-the-Good-Life-Audiobook/B00G6ZLMDC (A Guide to the Good Life) by https://dailystoic.com/william_irvine/ (William B. Irvine) ([54:30]) https://www.audible.com/pd/Every-Tools-a-Hammer-Audiobook/B07L39ZZ2Q (Every Tool’s a Hammer) by Adam Savage (https://twitter.com/donttrythis (@donttrythis))([55:30]) https://www.audible.com/pd/Titan-Audiobook/B00ECGLKLG (Titan) by Ron Chernow ([58:40]) Regarding https://en.wikipedia.org/wiki/Thomas_Midgley_Jr. (Midgely…) ([1:00:00]) https://ozar.me/quest/ (Brent’s Epic Life Quest) ([1:02:00]) https://ozar.me/2017/04/wordpress-plugins-i-use-to-sell-training-classes/ (WordPress Plugins I Use to Sell Training Classes) ([1:02:30]) Frank’s New Year starts 1 Nov. ([1:03:15]) Sometimes life resembles a country music song… ([1:04:00]) Frank wrote https://smile.amazon.com/Microsoft-Silverlight-Business-Application-Development-ebook/dp/B0058CR2QU (a book about Silverlight). ([1:05:15]) One day there will be a country song about a self-driving pickup leaving… ([1:06:10])
Transcript (Experimental) The following transcript was automatically generated with AI.
Hello and Welcome to data driven the podcast where we explore the emerging field of data science. We bring the best minds in data software engineering machine learning and artificial intelligence now hear your hosts Frank Lavigna and Andy Leonard. Hello and welcome back to data driven the podcasts are we explore the emerging field. Some data science machine learning and artificial intelligence. If you’d like to think of data as the new oil and you can consider us Car Talk because we focus on where the rubber meets
In the post-Amazon economy, all brick and mortar retailers are struggling. Some have outright failed and others on the brink. However, there are a few outliers that refuse to go down without a fight and are actually innovating.
In this DataPoint, Frank notes one that has actually turned physical location to its advantage by helping Amazon process returns!
As we begin season 3 of Data Driven, Frank and Andy wanted to bring it back to the guy who inspired the entire show: John Lee Dumas. Although not yet quite a household name, JLD as he’s known to his fans, is the host of https://www.eofire.com/ (Entrepreneurs on Fire), an award winning podcast where he interviews inspiring Entrepreneurs who are truly ON FIRE. With over 2000 episodes, 1 million + listens a month, and seven-figures of annual revenue, JLD is just getting started.
Not to stop there, the Data Driven dynamic duo want to bring the heat and turn up the tech intensity levels to 11 with a virtual summit that covers everything data from soup to nuts. To that end, we are launching the https://www.datasoupsummit.com/ (Data Soup Virtual Summit). And are souper excited to give https://www.datasoupsummit.com/tickets/?coupon=DATADRIVEN (Data Driven Listeners a Discount (70% until Aug 5, 2019; 50% afterwards)).
Back in the day – Richmond .Net Users Group, now https://www.meetup.com/AzureRichmondVirginia/ (Azure Richmond), and https://rva.pass.org/default.aspx (Richmond SQL Server Users Group).
https://en.wikipedia.org/wiki/Rick_and_Morty (Rick and Morty)
https://www.crn.com/news/cloud/microsoft-ceo-satya-nadella-s-6-key-statements-at-inspire-2019 (Tech Intensity)
https://www.eofire.com/about/ (John Lee Dumas!) https://www.eofire.com (Entrepreneurs on Fire)
https://www.eofire.com/video (Age of the Entrepreneur) movie
http://thinkandgrowrich.film/ (Think and Grow Rich) movie
https://www.smartpassiveincome.com/ (Pat Flynn – Smart Passive Income)
Love this:
https://eofire.com ()
“https://www.resultsjunkies.com/revisiting-drucker-what-gets-measured-gets-managed/ (What gets measured gets managed.)” – Peter Drucker
https://www.eofire.com/ (EOFire.com)
“Data is either part of your business plan or part of your going-out-of-business plan.” – Frank
Announcing https://www.datasoupsummit.com/ (Data Soup Summit) – a new virtual summit! Featuring:
https://radacad.com/ ( Reza Rad), author of https://smile.amazon.com/Pro-Power-Architecture-Deployment-Microsoft-ebook/dp/B07KQZ1ZDR (Pro Power BI Architecture)
https://www.linkedin.com/in/nick-h-3935589/ (Nick Harris)
https://www.cathrinewilhelmsen.net/ (Cathrine Wilhelmsen), co-author of https://smile.amazon.com/Biml-Book-Intelligence-Warehouse-Automation/dp/1484231341 (The Biml Book)
https://www.linkedin.com/in/timothymcaliley/ (Tim McAliley)
Dr. https://www.linkedin.com/in/leila-etaati-b0304636 (Leila Etaati), author of https://smile.amazon.com/Machine-Learning-Microsoft-Technologies-Architecture/dp/1484236572/ (Machine Learning with Microsoft Technologies)
https://www.datasoupsummit.com/ (Register) before 15 Aug 2019 and save!
https://l.facebook.com/l.php?u=https%3A%2F%2F365datascience.teachable.com%2Fcourses%2Fdata-scientist-career-track%3Faffcode%3D130400_wnxrridb%26ref%3Dheysummit%26fbclid%3DIwAR1MCZGLkRNtt04-Wut9P0FYYqlEtHEYnZ8wMY9gd5jDVrEfkdSvmTdOXNc&h=AT0OXLOO4Cfe-CufzTIEcKZ-8bkBrxyrpZxmD4o2jpjBk0GQhbZt8PTSnXjM44QAAWillL_TRQmbCIcZjAtOA7i7p5i6_t-dVBln3pRDGho677WIW_qwfgTmzmgAqSv4aIE (365 Data Science) – our first Data Soup Summit sponsor! We are honored to announce https://l.facebook.com/l.php?u=https%3A%2F%2F365datascience.teachable.com%2Fcourses%2Fdata-scientist-career-track%3Faffcode%3D130400_wnxrridb%26ref%3Dheysummit%26fbclid%3DIwAR1MCZGLkRNtt04-Wut9P0FYYqlEtHEYnZ8wMY9gd5jDVrEfkdSvmTdOXNc&h=AT0OXLOO4Cfe-CufzTIEcKZ-8bkBrxyrpZxmD4o2jpjBk0GQhbZt8PTSnXjM44QAAWillL_TRQmbCIcZjAtOA7i7p5i6_t-dVBln3pRDGho677WIW_qwfgTmzmgAqSv4aIE (365 Data Science) is sponsoring Data Soup Summit!
The https://www.facebook.com/DataDrivenTV/videos/1772515089725538/ (Dunkin Donuts DataPoint) raw footage from the https://www.facebook.com/DataDrivenTV/ (DataDriven Facebook page).
Transcript (Experimental) The following transcript was automatically generated with AI.
Hello and...
In this DataPoint, Andy teases some details on Data Driven Season 3, which is set to launch Tuesday, July 23rd along with another special project that we’ve been working on.
Recently, Amazon announced that https://www.cnbc.com/2019/07/11/amazon-plans-to-spend-700-million-to-retrain-a-third-of-its-workforce-in-new-skills-wsj.html (it will spend $700 Million) (USD) to retrain its employees. Why are they doing this? Simple: automation. They know that a displaced workforce would be bad political mojo at a time when the giant is facing increasing calls for regulation, even potential anti-trust action.
Anti-trust laws in the US were made largely in reaction to the Standard Oil Company and its founder John D. Rockefeller.
In this DataPoint, Frank notes how Jeff Bezos just may be the Rockefeller of our day.
Frank and Andy are in the same place for the first time in a while, so they meet up to plan season 3 of Data Driven.
In this Data Point, Frank marks the two year anniversary of Data Driven’s launch and talks about the future.
In this Data Point, Andy ponders the ethics of lying to the machines, how that adds bias, and what the consequences may be.
In this Data Point, Andy discusses our recent interview with Anders Schneiderman, What’s it going to take for neglected communities to come back to life? How are workers going to be retooled? What’s the practical application here?
In this episode, Frank and Andy talk to Anders Schneiderman (https://www.linkedin.com/in/anders-schneiderman-1030525/ (LinkedIn)), founder of https://makersall.org/ (Makers All) and author of a report titled https://makersall.org/ (How to Help Communities Transform Emerging Tech So They Can Shape Their Destinies).
Quick DataPoint today to make you aware that Kent Bradshaw – a data scientist who works with me at https://entdna.com (Enterprise Data & Analytics) – and I are delivering a free webinar titled https://andyleonard.blog/medical-data-webinar (Loading Medical Data with SSIS) Wednesday 17 Apr 2019 at [12:00] PM EDT.
In this Data Point, Frank talks about a new offering: the Chatbot Workshop as well as his journey from bot-skeptic to bot-evangelist.
Here’s the book I referenced in the DataPoint
Andy has been working on a way to test SSIS package execution in Windows containers using the SSIS Catalog. That’s a lot of moving parts, which made for a lot of blog posts.
Watch the video from the https://www.facebook.com/DataDrivenTV/ (Data Driven TV Facebook page):
Read the series at https://andyleonard.blog (andyleonard.blog):
https://andyleonard.blog/2018/12/ssis-docker-and-windows-containers-part-0-getting-started/ (Part 0)
https://andyleonard.blog/2019/03/ssis-docker-and-windows-containers-part-1-why/ (Part 1)
https://andyleonard.blog/2019/04/ssis-docker-and-windows-containers-part-2-executing-ssis-v0-1/ (Part 2)
https://andyleonard.blog/2019/04/ssis-docker-and-windows-containers-part-3-adding-the-ssis-catalog/ (Part 3)
https://andyleonard.blog/2019/04/ssis-docker-and-windows-containers-part-4-adding-an-ssis-catalog-attempt-2/ (Part 4)
https://andyleonard.blog/2019/04/ssis-docker-and-windows-containers-part-5-deploying-to-the-ssis-catalog/ (Part 5)
https://andyleonard.blog/2019/04/ssis-docker-and-windows-containers-part-6-executing-packages-in-an-ssis-catalog-in-a-container/ (Part 6)
Enjoy!
:{>
In this Data Point, Frank ponders the wider impact on jobs and businesses related to self-driving cars that are not immediately obvious. From driving schools to truck stops, everyone will feel the change.
The question then becomes: how can we prepare the workforce for the impending upheaval in the job market? Will teaching to the test cut it? Or are we going to have to make learning play and play learning?
Show Notes: https://soundcloud.com/theworkforceshow/frank-la-vigne (Workforce Show interview with Frank on “Breaking the AI Code”)
In this DataPoint, Frank discovers that Chuck E. Cheese is tracking game playing statistics with the use of RFID cards and how to look up your own data with their in store kiosks.
While grabbing coffee at a recently renovated McDonald’s, Frank ponders the future of work: both low-skill and higher skill work. There’s going to be no hiding from this: we are truly on the Eve of Disruption, where AI will impact everyone everywhere.
It’s not all gloom and doom and there might be a strategy to survive and even thrive now and in the next economy.
In this episode, Frank and Andy talk to two guests, Ronald Schmelzer and Kathleen Walch, co-founders of https://www.cognilytica.com (Cognilytica) and co-hosts of the https://www.cognilytica.com/category/podcasts/ (AI Today podcast).
Links http://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes https://www.cognilytica.com/ (Cognilytica) is amazing!([04:00]) All chatbots are dumb – for now. ([09:00]) Machine Learning vs. Machine Reasoning ([11:30]) https://en.wikipedia.org/wiki/DIKW_pyramid (The DIKUW Pyramid) ([11:55]) More about https://en.wikipedia.org/wiki/Knowledge_Graph (Knowledge Graph)… ([14:00]) More about https://en.wikipedia.org/wiki/Commonsense_knowledge_(artificial_intelligence) (Common Sense)… ([15:00]) On generalization ([16:05]) https://www.quantamagazine.org/machine-learning-confronts-the-elephant-in-the-room-20180920/ (ML and the Elephant in the Room) ([16:22]) Movie reference: https://www.imdb.com/title/tt2015381/ (Guardians of the Galaxy) ([17:00]) How did the https://www.cognilytica.com/category/podcasts/ (AI Today) podcast get started? ([18:00]) AI Today podcast https://www.cognilytica.com/2018/05/23/ai-today-podcast-38-interview-with-dragos-margineantu-boeing/ (with Dragos Margineantu, AI Chief Technologist at Boeing) ([19:44]) Is AI retro? ([22:50]) Movie Reference: https://www.imdb.com/title/tt0091949/ (Short Circuit) ([23:30]) Did you find data or did data find you? (0[25:00]) https://www.meetup.com/TechBreakfast/events/226841343/ (Tech Breakfast DC) ([28:30]) https://www.aol.com/ (AOL) plug ([31:25]) What’s your favorite part of your current gig? ([32:00]) More about https://www.cognilytica.com/2018/07/17/does-fake-it-till-you-make-it-work-in-ai/ (pseudo-AI)… ([33:45]) Shout-out to https://brentozar.com (Brent Ozar) (just not by name) ([38:00]) When I’m not working, I enjoy ___? ([39:45]) I think the coolest thing in technology is ___? ([41:12]) https://bubble.is/ (Bubble programming language) ([42:15]) I look forward to the day when I can use technology to ___. ([45:00]) “Don’t overshare…” ([46:30]) https://www.ajc.com/news/national/study-says-most-americans-feel-lonely-young-adults-are-the-loneliest/pIRVGfKilaPLGS3CtwG4WM/ (The loneliest people) ([47:00]) Warning: Do not watch movies while driving. ([48:30]) Also, eating tacos while driving is difficult. ([49:00]) “Lefties are alright…” – Kathleen ([49:30]) Ron may be a pool shark. ([51:30]) https://www.techtarget.com/contributor/Ronald-Schmelzer (Ron) and https://www.techtarget.com/contributor/Kathleen-Walch (Kathleen) write for TechTarget and https://www.forbes.com/sites/cognitiveworld/people/kathleenwalch/#44cf2cba6ee5 (Forbes). ([53:00]) Ron’s book recommendation: https://smile.amazon.com/dp/B003PDMKIY (Hackers: Heroes of the Computer Revolution) ([56:00]) Kathleen’s book recommendation: https://smile.amazon.com/dp/B01GYPY88Y (My Not-So-Perfect Life) ([57:00]) Kathleen’s other book recommendation: https://smile.amazon.com/Glass-Castle-Memoir-Jeannette-Walls-ebook/dp/B000OVLKMM/ (The Glass Castle) ([57:40]) You can https://en.wikipedia.org/wiki/Glamping (glamp) at https://www.sandyriveroutdooradventures.com/ (Sandy River) in Farmville ([1:00:00])
Frank and Andy mix things up a bit and talk about running R in SQL Azure, becoming Anti-Fragile, Appalachia, and how they got blocked by a big time blogger.
Links http://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes Andy and Frank agree https://www.imdb.com/title/tt3230854/ (The Expanse) is well-written. ([02:00]) Frank’s super-secret conference… wasn’t. ([04:00]) You should definitely check out http://www.franksworld.com/ (Franks World) ([04:30]) Keep up with https://twitter.com/azuredatafest (Azure Data Fest) on Twitter ([05:00]) https://www.amazon.com/dp/B0795DNWCF/ (AI Super-Powers) ([05:20]) Frank and Andy “learned a lot” when we tried to land a “big fish”… ([05:40]) … and were blocked on Twitter ([06:15]) (It’s all Andy’s fault. Frank’s Twitter block was collateral damage.) ([06:30]) Frank is a Microsoft AI Ambassador ([07:15]) Check out the show with http://datadriven.tv/ronald-schmelzer-kathleen-walch-ai-enterprises-startups/ (Ronald Schmelzer and Kathleen Walch on AI, Enterprises, and Startups) ([08:00]) Shoutout to http://datadriven.tv/milena-rodban-geopolitical-risk-cybersecurity-tennis/ (Milena Rodban) and her show on Geopolitical Risk, Cybersecurity, and Tennis ([08:30]) Milena’s LinkedIn article ([09:15]) DIVE DIVE DIVE ([10:00]) “R-uh” ([10:45]) http://datadriven.tv/kent-bradshaw-microsoft-data-science-professional-certification/ (Kent’s show) ([11:00]) Frank has another certification: AI ([11:15]) “No brakes on the F train…” ([12:00]) Frank has 36 certifications in the past 2.5 years ([12:30]) COBOL mentioned… ([13:00]) Regarding “SELECT …” ([14:15]) More information about https://docs.microsoft.com/en-us/azure/data-explorer/data-explorer-overview (Azure Data Explorer) ([15:30]) On dataframes… ([17:30]) https://docs.microsoft.com/en-us/azure/sql-database/sql-database-connect-query-r (Setting up R in Azure) ([18:00]) Frank writes the https://social.msdn.microsoft.com/Search/en-US/magazine?query=Artificially%20Intelligent&pgArea=header&Refinement=118&emptyWatermark=true&ac=4 (Artificially Intelligent) column at MSDN magazine ([20:00]) Learn more about https://azure.microsoft.com/en-us/services/databricks/ (Azure Databricks) ([23:30]) https://www.linkedin.com/in/graemesplace/ (Graeme Malcolm) is an awesome presenter! ([26:00]) Frank totaled his car in December 2018 ([26:30]) More information on https://owners.honda.com/vehicles/information/2019/Accord-Sedan/features/Adaptive-Cruise-Control (Honda Adaptive Cruise Control) ([28:00]) Frank’s role – as a driver – has changed. ([31:12]) Book Recommendation: https://smile.amazon.com/dp/B0083DJWGO (Anti-Fragile) ([35:30]) Frank’s brush with “Ponch” ([36:50]) Interesting article about http://adcats.et.byu.edu/Publication/87-5/WAM2.html (combination of tolerances) ([38:50]) Andy shares thoughts on the economics of self-driving trucks ([43:00]) Frank shares thoughts on the shifting role of a driver in self-driving trucks ([45:30]) “Learn how to code” is not particularly helpful ([47:00]) AFAF == “Anti-Fragile As Frank” ([47:30]) Upcoming show with Anders Schneiderman, who has not (yet) blocked us on Twitter ([50:00]) “Disruption is now the norm.” ([51:30]) Mr. T https://www.youtube.com/watch?v=lSPNQ82Sq4E (predicts pain). ([53:30]) Frank’s DataPoint* http://datadriven.tv/datapoint-playful-data-judicious-time/ (Be Playful With Your Data, but Judicious With Your Time) ([54:30]) “Potpourri episode” ([55:55]) Book reference: https://www.amazon.com/dp/B075HYVP7C/ (Skin in the Game) by http://www.realworldrisk.com/ (Nassim Nicholas Taleb) (https://twitter.com/nntaleb (@nntaleb)) ([56:15]) Book references:...
In this episode Frank and Andy talk with https://www.milenarodban.com/ (Milena Rodban), a Geopolitical Risk Consultant and Simulation Designer, which might be the best job title ever.
Milena discusses the importance of data and the often overlooked security aspects around data, especially when set against the backdrop of complex business and security environments.
Links http://thedatadrivenbook.com () Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes Frank and Andy wax rhapsodic about the term “information superhighway.” ([00:45]) Andy has been busy working on new releases at DILM Suite. ([01:50]) Frank has been to super-secret conference… ([02:15]) Happy Birthday, Frank! ([03:00]) Our guest, https://www.milenarodban.com/ (Milena Rodban), is a Geopolitical Risk Consultant and Simulation Designer at https://versprite.com/ (VerSprite Security).([03:30]) “Geo-political flux” ([06:20]) An article on the risk posed by https://www.bbc.com/news/business-46465438 (Huawei). ([07:00]) Information on the https://en.wikipedia.org/wiki/2018_Atlanta_cyberattack (2018 Atlanta cyber-attack). ([10:15]) Regarding the challenges of identifying https://smile.amazon.com/dp/B00139XTG4 (Black Swan) events using machine learning… ([12:30]) Milena design simulations that surface internal organizational patterns and expose information vectors. ([14:30]) Are bad actors using automation? ([16:30]) What happens when bad actors begin using AI? ([17:10]) Automation reduces the cost / attack. ([17:40]) Milena asks, “Is there a listening device in use?” when she enters a home. ([19:15]) “The same way you would ask a doctor, ‘What are the side-effects of this medication?’ we should be thinking about the side-effects of introducing this technology into my home.” ([20:20]) Frank: “So it’s a good time to be a bad guy.” Milena: “It’s definitely an easy time to be a bad guy.” ([24:00]) “We have quite enough history to tell us things that things will go wrong and they will go wrong spectacularly if you’re not prepared.” ([25:50]) Milena answers: “What’s a good first step for organizations and people interested in being more mindful of security?” ([26:00]) Did Milena find this field or did this field find her? ([28:20]) Milena https://twitter.com/MilenaRodban (tweeted) the hashtag https://twitter.com/search?q=%23bandatatorture (#BanDataTorture) for a while.([29:10]) More information about https://www.enigma.com/about-us (Enigma) ([31:30]) On predicting the future from the past… ([32:45]) Lots of admiration for https://twitter.com/nntaleb (Nassim Nicholas Taleb) ([33:33]) Milena mentions https://www.amazon.com/dp/B011I2MONE/ (The Gray Rhino) by https://www.amazon.com/dp/B011I2MONE/ (Michele Wucker) ([33:44]) What’s your favorite part of your current gig? ([34:50]) Milena enjoys playing tennis and appreciates IBM’s efforts to https://newsroom.ibm.com/2018-08-29-IBM-Gives-Tennis-Players-a-Competitive-Edge-with-Watson-at-the-2018-US-Open-Tennis-Championships (data mine the sport). ([35:50]) The coolest thing in technology is connecting with others. ([36:10]) “I look forward to the day when I don’t feel like I want to throw my laptop out the window!” ([37:15]) Milena enjoys scuba diving. ([38:00]) Learn more about https://www.linkedin.com/in/milenarodban/ (Milena Rodban on LinkedIn) and at https://versprite.com/ (VerSprite.com). ([38:40]) Milena’s writing may be found at her (excellent) website: https://www.milenarodban.com/ (MilenaRodban.com) ([38:45]) For more information about Milena’s upcoming book, Geopolitical Flux, follow the Twitter for https://twitter.com/geopoliticflux (@Geopolitical Flux). ([38:55]) Milena recommends...
This week, Frank is at (near) Microsoft’s headquarters just outside Seattle, Washington, attending internal, possibly even secret, training. In this impromptu Data Point, he chats with fellow attendees about AI, Ethics, and the ever-present Unintended Consequences of technological advancement.
In this Data Point, Frank explains why you should be playful with your data and judicious with your time in this unusually philosophical Data Point
In this episode of Data Driven, Frank and Andy talk to Trey Johnson about ETL, Data, and fixing up old cars.
In this DataPoint, Andy reflect on software development, SSIS Catalog Compare, and his philosophies on testing software.
Also, if you want to grab a cool SSIS t-shirt, https://www.amazon.com/dp/B07L3MFRLZ?ref_=pe_2196150_146773810 (get it from Amazon today for $19) . You get some sweet geeky swag and your purchase helps fund the show.
In this free excerpt from Andy’s Fundamentals of Azure Data Factory course, Andy shows off some of his prowess with ADF with our listeners.
In this Data Point recorded at a Costco during the post-holiday shopping season, Frank explains his algorithm for determining that magical point when a lot of data becomes “Big Data.” Given the constant advances in storage technologies, that borderline is a moving goalpost that’s hard to measure. Or is it?
In case you’re wondering, why it’s been quiet here, Frank had a car accident last Monday and, in this Data Point, shares his hastened desire for self-driving cars. Also a cameo by a dog.
Normal schedule should resume shortly.
In this Thanksgiving episode of Data Driven, Frank and Andy reflect on the two years since the inception of Data Driven at a humble Dunkin Donuts in Gaithersburg, MD.
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Last night, I spoke at https://www.meetup.com/DC-Emerging-Technologies-DC-EMT-IoT-AI-3D-Printing/ (the DC Emerging Technologies Meetup) at the Gensler office on K Street on https://www.meetup.com/DC-Emerging-Technologies-DC-EMT-IoT-AI-3D-Printing/events/256071277/?rv=wm1&_xtd=gatlbWFpbF9jbGlja9oAJDExMWU5OWY4LTRkMzAtNDUwZi1hNWMwLWZkNTVhZGNlNDU2Zg&_af=event&_af_eid=256071277 (Applied AI: Use cases of AI in business and government).
It was a really great conversation and an awesome meetup with some very smart people.
While Andy and Tim are living it on at the PASS Summit in Seattle, Frank was at the University of Virginia today https://github.com/Microsoft/computerscience/tree/master/Labs/Deep%20Learning/200%20-%20Machine%20Learning%20in%20Python (running a hands-on-lab) showing off the basics of the data science process: ingestion, processing, analysis, and visualization.
2Hosts2Coasts
Andy catches up with what he’s been up to at the PASS 2019 Summit, SQL Server 2019, and driving late at night.
In this DataPoint, roving reporter Tim McAliley explains what he’s been up to on the last day of PASS 2018.
PASS 2018 is this week in Seattle, Washington. Andy is on site and he even has a booth for https://entdna.com/ (Enterprise DNA)! Rumor has it that there’s even a Data Driven logo on the booth!
We are also excited to have https://twitter.com/SysFrameWorks (Timothy McAliley) as our very first “roving reporter” covering events and happenings all around the conference. Be sure https://www.facebook.com/DataDrivenTV/ (to like us on Facebook) to stay up to date and have access to all the bloopers we make while recording DataPoints!
Hurricane Florence hit the US East Coast nearly seven weeks ago, yet the cleanup is on going and many people’s lives are still not back to normal.
In this DataPoint, Andy talks about the importance to remembering that there are people behind the statistics and data we gather.
Frank’s Thoughts:
What prompted me to think about this was how in the first few years after 9/11, I had shared my photos of the event with a researcher at NIST. In email exchange, I remember explaining to him that I would send him more data after I attended “another memorial service, third one this week.” He wrote back snarkily, “you know a lot of dead people.” To which I replied, “I knew a lot of people in the Towers.” He wrote back quickly, apologizing how his excitement for data collection got the better of him and he never really thought about the people who died and that he’s not just researching a fire, but a mass murder.
That interchange stuck with me and, as I saw parallels between our excitement about “Andy Weather,” I thought it would be a teachable moment.It also helped that he was down in NC to volunteer to help the people whose lives have been upended by the storm.
Andy’s Thoughts:
Frank is spot on. It’s easy to get wrapped up in the numbers and forget that the numbers represent lives.
Hurricanes are massive storms. The damage they cause takes months and years to fix. Some of the damage – like lives lost or permanently altered – is irreversible. That’s easy to overlook in some moments and – often – requires a paradigm shift in thinking for data driven people (like me).
We should strive to help others at every opportunity – especially those recovering from disasters – because we are the only “us” we’ve got.
It’s data. But it’s not just data.
In his session from Azure Data Fest Reston 2018, Frank explores reinforcement learning. As an added bonus, Andy (who’s holding the camera) chimes in now and then.
In this keynote session from Azure Data Fest 2018 Reston, Data Driven’s very own Andy Leonard discusses and demonstrates migrating SSIS to Azure Data Factory Integration Runtime.
In this keynote from the Azure Data Fest 2018 in Reston, Mark Brown dives deep into Microsoft Azure’s globally distributed database, Cosmos DB. He covers concepts then dive into specific features and capabilities that make this database the key to building global applications and services in the cloud.
In this keynote from the Azure Data Fest 2018 in Reston, Tim McAliley and Devin Jaswal explore the data services available in Azure.
In this Data Point, Frank and Andy talk about reinforcement learning, Mario Brothers, and then get sidetracked. Then Joel Cochran stops by and they really get sidetracked.
In this episode, Frank and Andy talk with Rie Irish about her path from sociology to database administration, women in technology, and getting people to walk around in circles.
We love experimenting around here and examining the resulting data. After all, we are Data Driven: not just in name but also in spirit.
In this webinar Andy recorded, he also streamed it live on https://www.facebook.com/DataDrivenTV/ (our Facebook page). We thought it was good enough to share with our larger audience here.
Let us know what you think. Both Frank and Andy have been recording/streaming their live events and we’re curious to hear what you have to say about this innovation in how we podcast.
Today, Frank was in Philadelphia presenting a session at AI Discovery Day on Computer Vision Cognitive Services.
The labs for this session are on GitHub: https://github.com/Azure/LearnAI-Bootcamp/tree/master/lab01.1-computer_vision (https://github.com/Azure/LearnAI-Bootcamp/tree/master/lab01.1-computer_vision)
These events will be taking place across the US. Here are a few dates and links to registration.
City Date Title Link
Boston, MA 9/28/2018 AI Discovery Day https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoftevents.com%2Fprofile%2Fform%2Findex.cfm%3FPKformID%3D0x45091573054&data=02%7C01%7C%7C4129a6aefd354a02d9c308d623c7d5b3%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636735738568882001&sdata=n3hPbPD77NEDl%2FlJZzzzTlSVlQZS3TfF2sslUsLVOXI%3D&reserved=0 (Registration Link)
Boston, MA 10/16/2018 AI Discovery Day https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoftevents.com%2Fprofile%2Fform%2Findex.cfm%3FPKformID%3D0x46600936ce4&data=02%7C01%7C%7C4129a6aefd354a02d9c308d623c7d5b3%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636735738568892010&sdata=zHjgYzdNx%2FdM%2FQbpQtvoWFYJSv85ARg%2F28F9Vsjq9D4%3D&reserved=0 (Registration Link)
Malvern, PA 10/17/2018 AI Discovery Day https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoftevents.com%2Fprofile%2Fform%2Findex.cfm%3FPKformID%3D0x4661233846c&data=02%7C01%7C%7C4129a6aefd354a02d9c308d623c7d5b3%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636735738568892010&sdata=PmHwnlCp6ZpkBrKbLhKtSFjEiVGmrwo8ISOuukjTZWU%3D&reserved=0 (Registration Link)
Reston, VA 10/25/2018 AI Discovery Day https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoftevents.com%2Fprofile%2Fform%2Findex.cfm%3FPKformID%3D0x466130916f5&data=02%7C01%7C%7C4129a6aefd354a02d9c308d623c7d5b3%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636735738568902010&sdata=4hhklYiDAaq7tj6WjTjGD9hY8z07mrwuL2WDVyFHaWg%3D&reserved=0 (Registration Link)
Boston, MA 10/25/2018 WORKSHOP: Applied AI – Cognitive Services https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoftevents.com%2Fprofile%2Fform%2Findex.cfm%3FPKformID%3D0x4749811abcd&data=02%7C01%7C%7C4129a6aefd354a02d9c308d623c7d5b3%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636735738568902010&sdata=C2Ge5RLVj%2Fe7q30aizxPucO3gFY%2F77Lcf1NxPO3Z8qk%3D&reserved=0 (Registration Link)
Hurricane #Florence has been making its presence known on the eastern shores of the mid-Atlantic region since the wee hours of this morning (13 Sep 2018). In Farmville, Andy is seeing weather that is being pushed by the storm – not the storm itself.
Update: Andy https://andyleonard.blog/2018/09/andyweather-internet-of-things-iot/ (blogged )about the https://twitter.com/AndyWeather (@AndyWeather) weather station and how he uses IoT technology to tweet weather data and display it at http://andyweather.com (AndyWeather.com).
In other news, this is Episode #150 and we hit 70,000 downloads earlier today. Thank you listeners! Thank you guests! Yall rock!
In this DataPoint, Andy shares plans to capture weather data from Hurricane Florence for a site he maintains – named http://andyweather.com (AndyWeather) – and a Twitter account named https://twitter.com/AndyWeather (@AndyWeather).
In this episode, Frank and Andy chat with Stu Ainsworth about service reliability in a chaotic world.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes https://blogs.msdn.microsoft.com/vsoservice/?p=17485 (Postmortem: VSTS 4 September 2018) ([02:00]) Stuart Ainsworth on Twitter: https://twitter.com/codegumbo (@CodeGumbo) ([05:30]) Reliability: Expectations vs. Solutions ([06:00]) “Canada is another country.” ([11:00]) “https://www.google.com/search?ei=K-iXW7W_Ncap_Qbi7KH4Dw&q=define%3Aserendipitous&oq=define%3Aserendipitous&gs_l=psy-ab.3...5014.6662..6940...0.0..0.101.505.6j1......0....1..gws-wiz.......0i71j0i7i30j0i10j0i13j0i13i10j0i7i10i30.Dxc8PSw1o-M (Serendipitous)” ([11:55]) TV references: https://www.imdb.com/title/tt0088559/ (MacGyver) and https://www.imdb.com/title/tt0084967 (The A-Team) ([13:40]) https://en.wikipedia.org/wiki/Chaos_Monkey (Chaos Monkey) ([00:00]) https://www.brentozar.com (Brent)‘s book review of https://www.brentozar.com/archive/2017/11/book-review-database-reliability-engineering-campbell-majors/ (Database Reliability Engineering) ([15:00]) Andy cannot count 9’s… ([19:15]) The shifting node for “big data.” ([23:30]) https://en.wikipedia.org/wiki/Service_level_objective (Service Level Objective) ([25:00]) https://www.amazon.com/Black-Swan-Improbable-Robustness-Fragility/dp/081297381X (The Black Swan) (https://mobile.audible.com/pd/The-Black-Swan-Audiobook/B002V5BGUA (Audible)) by Nassim Nicholas Taleb (https://twitter.com/nntaleb (@nntaleb)) ([28:00]) http://www.franksworld.com/wtc/ (Frank’s 9/11 Experience) ([30:00]) Culture is prime. ([35:00]) The hard part is figuring out, “What is the problem we’re trying to solve?” ([35:45]) https://docs.microsoft.com/en-us/azure/sql-database/sql-database-service-tiers-dtu (DTU) ([36:50]) Things are changing. Some folks are threatened ([40:30]) Stu works for https://www.jackhenry.com (Jack Henry). ([41:40]) Risk cannot be removed by technology. ([43:30]) “… it’s kinda like an old girlfriend…” – Stuart Ainsworth ([44:30]) Road trips! ([47:30]) “We are living in interesting times.” ([49:00]) https://cityofhoschton.net/ (Hoschton, Georgia) ([50:25]) Stu likes the book https://www.audible.com/pd/Accelerate-Building-and-Scaling-High-Performing-Technology-Organizations-Audiobook/B07BLZDZFQ (Accelerate) ([52:40]) Find out more about Stu at http://codegumbo.com/ (CodeGumbo.com)! ([53:45]) Learn more about Azure DataFest by following https://twitter.com/azuredatafest (@AzureDataFest) on Twitter! ([54:00])
On Friday, the first ever Azure AI Fest was held in Reston, VA. Data Driven streamed the keynote presentation live and was a sponsor.
So, enjoy the audio of the keynote address by Ashish Jaiman, a former colleague and manager, who now works in the Democracy and Cybersecurity team at Microsoft.
If you prefer to watch the event, including some of our special effects laden pre-roll, then click on the play icon below. Jump to the ten minute mark to see the event.
In this episode, Frank and Andy talk to Jake Mannix, an accomplished data engineer who has had an amazing career.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes Frank heartily recommends https://www.audible.com/pd/Head-Strong-Audiobook/B01N7TZPXR (Head Strong) ([00:50]) It takes a lot of time to fly from Farmville to India… ([2:40]) http://thedatadrivenbook.com (Audible) is a sponsor! ([04:00]) Jake is a https://entdna.com (Chief Data Engineer) for https://lucidworks.com/ (LucidWorks) ([06:15]) Jake describes a cool Systems Development Cycle… ([10:00]) … and compares and contrasts with Customer Service and Product Engineering. ([12:00]) Sometimes this cycle works “too good!” ([13:10]) Learn more about http://lucene.apache.org/core/ (Lucene). ([15:00]) We now search by typing questions. Not terms. ([15:40]) More about https://en.wikipedia.org/wiki/User_intent (Query-Intent Classification)… ([17:10]) “How Do I Do https://www.google.com/search?q=how+do+I+do+brain+surgery&oq=how+do+I+do+brain+surgery (Brain Surgery)” – Google Search ([18:25]) Smart search is based on closed loop analysis of “who clicks on what.” ([19:30]) One example of public search datasets: https://trends.google.com/trends/?geo=US (Google Trends). ([21:30]) What is a garage-door opener? ([22:00]) “We expect a lot from search these days.” ([26:10]) Searching Amazon for https://www.amazon.com/s/ref=nb_sb_noss_2?url=search-alias%3Daps&field-keywords=garage+door (garage door). ([26:40]) “Data is their foundation.” ([28:00]) “I’m a data engineer.” ([31:00]) “Math is fun but it’s 5% of the work.” What is most of the work? Data cleansing. ([31:20]) On https://www.grc.nasa.gov/www/k-12/Numbers/Math/documents/Tensors_TM2002211716.pdf (tensors)… ([31:40]) Jake likes to run long distances over mountains! ([33:10]) Jake thinks self-driving cars will be cool. ([37:30]) Jake shares his encounter with the Moonies, which wins the Something Different About Yourself segment (to date). ([39:35]) Jake and his daughter like to listen to http://thedatadrivenbook.com (audio books). ([43:20]) Learn more about Jake on https://www.linkedin.com/in/jakemannix/ (LinkedIn)! ([44:00]) Jak helped build https://www.linkedin.com (LinkedIn)‘s search engine! ([44:44]) Check out the https://lucidworks.com/blog/ (LucidWorks blog). ([45:00])
If you’ve not heard the news, the http://bit.ly/restonai (first ever Azure AI Fest is happening Reston this Friday) and we are super excited to announce that Data Driven will be the official media sponsor. As such, we’ll be live streaming the keynote https://www.facebook.com/DataDrivenTV/ (on our Faceook page).
While on the drive back from the inaugural Azure Data Fest Atlanta, Andy pauses and reflects on what it takes to get into Data Science, AI, and Data Engineering in 2018.
Andy is at the inaugural Atlanta Azure Data Fest and, while talking to organizer Stu Ainsworth, a who’s who of Atlanta SQL community folks, including http://datadriven.tv/julie-smith-escape-rooms-percussive-maintenance-data-science/ (former guest Julie Smith), drop by and say hello.
Andy is presenting at the Atlanta Azure Data Fest and he bumped into http://datadriven.tv/joel-cochran-data-politics-law-school-billiards/ (former guest, Joel Cochran).
In this episode of Data Driven, Frank and Andy talk with Micheleen Harris, an R developer who loves Python. Yes, it is possible.
Show notes coming soon!
In this episode of Data Driven, Frank and Andy answer two questions sent in by listeners.
Yesterday, I had the chance to speak to a group of high school students from around the world who enrolled in https://summer.georgetown.edu/programs/SHS02/basic-coding-data-science-institute (a data and coding focused summer program at Georgetown University).
It was a great experience and underscores the need to teach kids the importance of data as well as coding.
Recently, this post of the Best Jobs in the US came across my news feed.
Note that “Data Scientist” has been knocked out of first place by “Machine Learning Engineer.” This title didn’t even exist a few years ago.
So then, how do we prepare kids for the future of work when the jobs don’t exist yet. Simple: you prepare them with the fundamentals.
As I recorded this show, I was joined by a distinguished guest rather by surprise. See, anything can happen on a live stream!
Check out his coding camp’s website at http://fairhavencodingcamp.com and if you live in the DC area, sign up your middle/high schooler today!
While in Vegas, I caught up with my former DataLeader pal, Kim Schmidt to talk about her new book, advanced analytics, and why Microsoft, Google, and Amazon are the Ford, GM, and Chrysler of the 21st century.
In this Data Point, Frank talks about how it’s data analytics and statistical analysis — and not luck — that run Las Vegas. It’s not Sin City, it’s Stats City. Although, that’s not nearly as catchy.
Frank and Andy sync up before a big internal conference and some goodies that Andy’s working on.
In the first episode of “Season 2,” Frank and Andy catch up with Joel Cochran. Joel Cochran leverages data in the political arena.
Show notes coming soon.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: https://entdna.com (Enterprise Data & Analytics) http://www.mcknightcg.com/ (McKnight Consulting Group)
Notable Quotes On strategy and leadership… ([7:00]) “Business strategy is really about data strategy” ([7:45]) It takes a team ([10:30]) On AI: “We’re only barely tapping into the possibilities…” ([12:00]) Interviewing at IBM ([12:45]) “…data as its own discipline, it’s not a drag-along to applications.” ([14:45]) William is active! ([16:00]) AI is the coolest thing ([17:30]) Growing meat, prescription errors ([19:00]) On http://www.mcknightcg.com/ (McKnight Consulting Group) ([21:20]) https://twitter.com/williammcknight (@WilliamMcKnight) “Be a leader.” ([25:50])
In this Data Point, Frank reflects on the impact of data analytics on cancer research and one year of recording data points. In honor of Father’s Day, he left a few bloopers in place.
Summer vacation season is upon on us(at least in the Northern Hemisphere) and Andy is taking some well-deserved R&R at Busch Gardens in Virginia.
However, data never takes a vacation and he notices something new at the Loch Ness Monster ride.
It was two years ago today that I had what I refer to now as my “Blues Brothers moment.” If you’re not familiar with the movie, then this GIF below depicts the seen elegantly enough.
https://giphy.com/gifs/blues-brothers-clarity-nBQefMWjqdLc4 (via GIPHY)
As promised, here’s the live stream I did from the hotel after day one. I’d like to think my on camera presence has improved since then.
Also here are the links to the two videos I recorded in the Channel 9 Studios:
https://channel9.msdn.com/Series/FWTV-on-9/Decoding-Brainwaves-with-Azure-Machine-Learning?term=fwtv%20on%209 (Decoding Brainwaves with Azure Machine Learning)
https://channel9.msdn.com/Series/FWTV-on-9/Getting-Started-in-the-Decoding-Brain-Signals-Competition (Getting Started with the Brainwave Decoding Competition)
In this episode, Frank and Andy celebrate one year of podcasting, the origins of “Data Points,” how the show got started, and where it may be headed.
https://varigence.com (Varigance) is poised to release the 2018 version of their toolset: https://varigence.com/bimlexpress (BimlExpress), https://varigence.com/bimlstudio (BimlStudio), and https://varigence.com/bimlflex (BimlFlex).
https://varigence.com/Partners/BimlHeroes (BimlHero) Andy Leonard has an update!
Frank and Andy are in the same place for the first time in a while and they have a special announcement: the show has reached 50,000 downloads in just under one year.
Thank you for supporting the show. You rock!
Frank caught up with Karen Lopez at the Philly Azure Data Fest to talk rocket science, data, and the perils of developers misusing columns in the schema. We also uncover the meaning of DBA (Don’t Bother Asking) and a super secret flag to make your databases run faster. (Not really)
At the Philly Azure Data Fest, Frank sits down with Tim McAliley to find out where Azure Data Fest started and where it’s headed to next,
Frank and Andy are out and about and if they can’t be in the studio, they are going to bring the studio to where they are in order to keep you up to date on all the data happenings out there.
In this Data Point, Frank is at the Philadephia Azure Data Fest to listen, learn, and record. He also talks about the recent announcements from the Microsoft Build conference earlier this week.
… and Andy’s delivering training!
https://andyleonard.blog ()
From Frank and Andy at Data Driven: “For those about to teach, https://www.youtube.com/watch?v=RtMGoU9NcMo (WE SALUTE YOU)!”
Happy Teacher Appreciation Day, teachers! You rock!
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Andy ran into Kathi Kellenberger at SQL Saturday Albuquerque to talk about her career change, Breaking Bad, and loving your job.
Andy ran into Jason Brimhall, certified Data Master, about high volume transactions, big data, and how DBAs fit into the Data Science picture.
Andy speaks with https://datasavvy.me (Meagan Longoria) about the importance of creating accessible reports in PowerBI, SQL Pass and more.
Andy may not be the one who knocks, but he is in Albuquerque for SQL Saturday.
He runs into DBA extraordinaire as to how DBAs fit into the Data Science ecosystem and why they say no to developers so often.
https://giphy.com/gifs/knock-breakingbad-6tI9xjrMlbRgk (via GIPHY)
With Andy travelling around and Frank starting a new job, Frank and Andy have not had a lot of studio time lately.
So, they are bringing the studio to you by creating more Data Point shows, which bring you some of the brightest minds they run into out in “the wilds of Data Science” as well as their thoughts and insights on the spot wherever they go.
Where possible, Frank uses his ninja editing skills to filter out background noise and make the listening experience as pleasurable as it is educational.
http://datadriven.tv/wp-content/uploads/2018/05/AcuriteWeatherStation.jpg () A few years ago, Andy collected local weather data from his farm near Farmville Virginia and posted it online.
Why? To see if he could. Even though the old weather station ceased working years ago, he still uses the data in SSIS training courses he delivers.
It was time for a new weather station, so Andy picked up this https://www.acurite.com/environments/weather-stations.html (Acurite) model. He plans to use it to conduct data science and data engineering experiments. Why? To see if he could.
To get things started, Andy set up the Acurite software to append readings to a CSV file every 12 minutes. He then grabbed a copy of the https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azcopy (AzCopy command-line utility) Andy decided to run the Acurite software and AzCopy on a very old Windows 7 machine (with only 2GB RAM). Why? To see if he could.
It works.
Andy built a command line for AzCopy that performs a data transfer from the old Win7 machine to Azure Blob Storage. He then used Task Scheduler to fire the command line every 15 minutes… and you already know why.
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In this DataPoint, Frank talks about the term “Data Estate” in front of an actual estate.
Andy is suffering from seasonal allergies but the allergy meter says pollen is low. What gives? Outliers. That’s what.
Here’s the bar chart to which Andy refers:
http://datadriven.tv/wp-content/uploads/2018/04/20180423FarmvillePollen.jpg ()
Here’s a pollen heat map:
http://datadriven.tv/wp-content/uploads/2018/04/PollenAndy2.jpg ()
After attending http://datadriven.tv/datapoint-frank-talks-brian-moran-global-azure-bootcamp/ (the Global Azure Bootcamp) with my son, I decided to drop in and see what bargains there were at the nearby Toys R Us.
I have fond memories of going to Toys R Us when I was a kid. However, I’ve noticed a distinct decline in the store over the last few years. Given the state of their business, I know I am not the only one to see this once great retailer fall from grace. It was a weird feeling walking through a store I had fond memories of and picking through its carcass like a vulture feasting on roadkill.
Naturally, the pundits will point the blame of Toys R Us at Amazon, but is that fair? Is it accurate?
Well, kind of.
http://www.businessinsider.com/bezos-explains-his-dreaded-one-character-emails-2018-4 (Jeff Bezos recently talked about his “one character” emails that forwards) to his senior managers when he fields a complaint from the public. These emails not only strike fear into the hearts of the most senior executives at the online retailer, they also spur these leaders to act immediately to resolve the customer issues. What killed Toys R Us wasn’t Amazon: it was Amazon’s relentless commitment to customer service against large retailers who’ve grown lazy and content.
Now that consumers have a choice, they will choose to do business with those companies that provide the best customer experience.
Ok, But How Does Data Fit into this? It does indirectly. From the article: [emphasis added]
So those customer complaints gives him front-line insights. If all of his data say one thing and a few customers say something else, he believes the customers.
“The thing I have noticed is when the anecdotes and the data disagree, the anecdotes are usually right. There’s something wrong with the way you are measuring it,” he explained.
Naturally, as a data professional, those two phrases caught my attention. In fact, I see this as a failing in more than one enterprise: the assumption that the BI dashboard knows all.
It might, but it very well may not. If the data tells a different story from what’s going on in the field, then is the field wrong or is the data incomplete?
Put another way: If the map says that there’s a road and there is no road, is the map wrong or is reality wrong?
Clearly, reality is the ultimate arbiter and if you’re business is retail, then your reality is customer perception, not what the pretty graphics on your KPIs say.
In this DataPoint, Frank talk to Brian Moran about Global Azure Bootcamp, Databricks, AI, and life at Microsoft.
As this is Mr. Moran’s third appearance, this makes him Data Driven’s first ever threepeat guest.
Recently, I delivered a presentation on “Data Science for the Curious” at https://www.wework.com/buildings/k-street--washington-DC?&utm_campaign=774117994&utm_term=kwd-289749621509&utm_source=ads-google&utm_medium=cpc&gclid=Cj0KCQjwh7zWBRCiARIsAId9b4rRY_kAL3RikRg0XTSCnr75smZRaKUXs71vjcpZt0BcyHfslG3Nm4MaAn5YEALw_wcB&gclsrc=aw.ds&dclid=CNb90fnstNoCFZZGDAodFhwAgg (the WeWork K Street location in Washington, DC).
The goal was to help the largely non-technical audience of public policy professionals understand some of the core tenets of data science: its promises and its perils.
In light of the recent Facebook revelations, this is more critical now than ever before.
While at SQL Saturday Chicago, Andy gets recursive by talking to Andy.
Seriously, he meets up with Andy Yun, one of the organizers of SQL Saturday Chicago.
Straight from the Windy City SQL Saturday, Andy chats with Cathrine Wilhelmsen to dicusss all things BIML, matching shirts, and data.
Andy’s in the Windy City on this St. Patrick’s Day attending SQL Saturday and he bumps into Bill Wolf.
In this Deep Dive, Frank and Andy delve into the depths of Data Integration and SQL Server Integration Service.
In this Data Point, Frank recounts how he has a new approach to troubleshooting WPF performance issues, or any issues for that matter.
Frank and Andy chat with Adam Hecktman, Director of Technology & Civic Innovation Chicago, about his work with data for the public good. It was Adam who inspired Frank to get into data science.
Frank is in Reston tonight to speak at a new Meetup that focuses on AI and Machine Learning.
Frank and Andy talked about doing a Deep Dive show where they take a deep look into a particular data science technology, term, or methodology. And now, they deliver!
In this very first Deep Dive, Frank and Andy discuss the differences between Data Science and Data Engineering, where they overlap, where they differ, and why so many C-level execs can’t seem to figure out the deltas.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: https://entdna.com (Enterprise Data & Analytics)
Notable Quotes Frank’s new courses are up at WintellectNow ([01:30]) http://davidgoggins.com/ (David Goggins) ([03:00]) Dive! Dive! Dive! It’s a deep dive on Data Science vs. Data Engineering ([06:00]) “Clean data” means different things to different people. ([09:30]) “Shaping the data.” ([11:00]) Our conversation with http://datadriven.tv/buck_woody/ (Buck Woody) ([12:30]) Andy’s screed on managing NULLs ([14:00]) Andy’s screed on managing dupes ([17:00]) Frank, on aggregation and schema changes… ([21:21]) Attempted NoSQL definition ([23:45]) On MySQL… ([25:00]) Maybe “No” stands for “Not only” ([26:45]) “What sorcery is this?!” ([28:30]) Kevin Hazzard’s article on https://blog.sqlauthority.com/2015/08/20/sql-server-rewriting-database-history-notes-from-the-field-094/ (Database Design if we started today) ([29:15]) Andy’s opinion: We’re not using the SSD-ness of SSD’s ([31:30]) “I don’t know how much simpler you can get.” – Andy ([33:00]) Denny Cherry’s company: https://www.dcac.co/ (Denny Cherry and Associates) ([34:45]) “… somewhere between useless and lying…” ([35:45]) Frank on https://hortonworks.com/apache/hdfs/ (HDFS) ([38:00]) ClearDB wiped out 13 years of Frank’s blog data, and we’re still bothered by that. ([40:30]) http://scikit-learn.org/stable/ (sklearn) ([42:50]) Correlation is not causation. ([45:30]) https://www.amazon.com/How-Lie-Statistics-Darrell-Huff/dp/0393310728/ (How to Lie with Statistics) ([45:45]) Movie/TV Reference: http://www.imdb.com/title/tt0092455/ (Star Trek TNG) ([46:15]) https://www.microsoft.com/en-us/cognitive-toolkit/ (CNTK (Microsoft Cognitive Toolkit)) ([48:00]) Frank, on selling ice cream… ([49:25]) On https://machinelearningmastery.com/overfitting-and-underfitting-with-machine-learning-algorithms/ (over-fitting) ([55:30]) Training the model ([56:30]) Request for feedback! ([57:30])
Yes, Andy and I are still alive and we’re doing well.
2018 has started off like gangbusters for us both. Andy is going full bore in his consulting business and I’ve been big into Big Data, between delivering https://www.wintellectnow.com/Home/SeriesDetail?seriesId=mastering-hadoop-data-science-on-azure (five online courses on Hadoop) for WintellectNOW.
There is a new episode in the hopper and it will be out soon.
If you’d like to learn how to make the most of Azure Government, then check out these free courses I’m delivering in the DMV area.
Reston – Feb. 26 – Feb. 28, 2018; 8:30am – 5:00pm https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x2701117abcd (Register here)
Chevy Chase – Mar. 12 – Mar. 14, 2018; 8:30am – 5:00pm https://www.microsoftevents.com/profile/3303683 (Register here)
Elkridge – Mar. 26 – Mar. 28, 2018; 8:30am – 5:00pm https://www.microsoftevents.com/profile/3304234 (Register here)
Reston – Apr. 2 – Apr. 4, 2018; 8:30am – 5:00pm https://www.microsoftevents.com/profile/3304671 (Register here)
Reston – Apr. 23 – Apr. 25, 2018; 8:30am – 5:00pm https://www.microsoftevents.com/profile/3304937 (Register here)
On that note, here’s a little ear worm for you:
Today, I was in the Chevy Chase office at Microsoft and had the chance to bump into Brian Moran, who has recently joined Microsoft.
In this episode Frank and Andy celebrate a huge (yuge?) milestone, 100 uploads since launching in late May 2017.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: https://entdna.com (Enterprise Data & Analytics)
Notable Quotes It’s show #100! ([01:30]) On https://en.wikipedia.org/wiki/Pop_filter (pop filters) ([03:30]) On https://docs.microsoft.com/en-us/azure/azure-government/documentation-government-welcome (Azure.gov) ([04:30]) Spiderman reference ([05:00]) https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest (Azure CLI) ([07:00]) Regarding the https://redmondmag.com/articles/2017/10/16/microsoft-dublin-datacenter-case.aspx (Microsoft Dublin Datacenter Case) ([09:30]) https://blogs.microsoft.com/datalaw/category/brad-smith/?filter_post_type=post (Data Law (Brad Smith, Microsoft)) ([12:00]) Brent Ozar’s post on https://www.brentozar.com/archive/2017/12/gdpr-stopped-selling-stuff-europe/ (GDPR) ([23:00]) http://datadriven.tv/special-5pm-know-data-is/ (ClearDB deleted Frank’s data) ([25:00]) Andy is https://biml.academy/stopping-sales-to-eu-starting-31-dec-2017/ (not selling) in the EU ([26:40]) https://www.youtube.com/watch?v=M2lfZg-apSA (Soup nazi) reference ([30:20]) Microsoft’s http://fortune.com/2016/09/21/microsoft-germany-data-centers/ (German Data Centers) ([32:50]) Frank’s “aha” moment regarding Hadoop ([34:50]) https://www.edx.org/xseries/microsoft-azure-hdinsight-big-data-analyst (Microsoft Azure HDInsight Big Data Analyst) at edX ([35:40]) https://andyleonard.blog/2017/02/the-last-ssis-book-you-read/ (The Last SSIS Book You Read) ([37:15]) Frank has a lot of https://www.linkedin.com/in/frank-lavigne/ (certifications) ([43:30]) On https://andyleonard.blog/2011/12/dashboards/ (Dashboards) ([45:00]) Regarding http://internetofthingsagenda.techtarget.com/definition/Industrial-Internet-of-Things-IIoT (IIoT)… ([47:45]) Databricks ([50:00]) Regardign the https://en.wikipedia.org/wiki/Tuple (tuple) ([51:00]) Data Science training is available at https://www.wintellectnow.com/ (Wintellect Now) ([1:02:45]) https://www.khanacademy.org/ (Khan Academy) ([1:04:15]) Biml training is available at https://biml.academy (Biml Academy) ([1:05:30]) Frank had a rough 2016, but he came back strong in 2017! ([1:06:30]) Frank is on a https://www.youtube.com/watch?v=-4YrCFz0Kfc (mission from God) ([1:08:15]) Microsoft was founded 4 Apr 1975 (Frank was right and I was wrong) ([1:09:10])
Noted science fiction author, Arthur C. Clarke once noted that “any sufficiently advanced technology is indistinguishable from magic.”
If you want to see this in action, then head no further to https://www.tripsavvy.com/find-the-magiquest-fantasy-attraction-3266578 (the nearest place) you can play http://www.magiquest.com (MagiQuest). Players are given an RFID enabled wand and go on a scavenger hunt to obtain “enchanted items.”
When players point the wand at various objects, these inanimate objects respond either by opening, lighting up or speaking. It looks exactly like magic.
In this episode, Frank and Andy chat with Amanda Lange, technology evangelist at Microsoft, games journalist, and data aficionado.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: https://entdna.com (Enterprise Data & Analytics)
Notable Quotes Frank is working on a https://www.wintellectnow.com/ (Wintellect) on https://azure.microsoft.com/en-us/overview/clouds/government/request/ (Azure Gov) ([1:30]) Amanda’s site is http://secondtruth.com/ (Second Truth.com) ([99:00]) The psychology of games ([5:30]) Movie reference: http://www.imdb.com/title/tt0088763/ (Back to the Future) ([6:30]) How an Apple Watch or FitBit knows you’re asleep ([7:10]) Game violence activates sections of the brain (but it’s short-lived) ([8:30]) Andy lives in Farmville-not-the-game ([10:30]) https://www.zynga.com/ (Zynga) and A/B testing ([10:45]) Amanda plays a lot of https://playoverwatch.com/en-us/ (Overwatch) these days ([11:30]) “Games as a Service” ([12:10]) Psychology in games https://www.media.mit.edu/videos/lin-2015-03-12/ (Jeffrey “Lyte” Lin on Shaping Behavior in Online Games) ([13:30]) Amanda writes for http://tap-repeatedly.com/ (Tap Repeatedly) ([15:00]) Amanda loves teaching people! ([17:10]) “I wasn’t a data scientist until I was.” ([17:50]) On privacy and data… ([19:00]) Berkeley’s Data Science curriculum is http://data8.org/ (online) ([19:40]) Learn data science at http://data8.org/ (Data 8) ([22:15]) https://en.wikipedia.org/wiki/GLaDOS (GLaDOS) is a character in the http://www.valvesoftware.com/games/portal.html (Portal) games ([25:00]) The orchestral version of https://www.youtube.com/watch?v=3IS8J4ex6Uc (Still Alive) ([28:00]) No arm-wrestling with Amanda ([31:45]) “We can learn anything.” ([32:45]) https://nerdist.com/trap-a-self-driving-car/ (Trapping a self-driving car using salt…) ([34:00]) https://www.audible.com/pd/Sci-Fi-Fantasy/Ready-Player-One-Audiobook/B005FRGT44 (Ready Player One) audio book ([35:40]) http://readyplayeronemovie.com/ (Ready Player One, the Movie) ([99:00]) http://www.maximumfun.org/shows/adventure-zone (The Adventure Zone) ([37:50]) http://thedatadrivenbook.com (Audible (get a free book!)) has the Dragonlance series ([39:25]) Amanda tried out for http://abc.go.com/shows/american-idol (American Idol) ([41:00]) Amanda’s on Twitter https://twitter.com/second_truth (@second_truth) ([42:00])
In this episode, Frank and Andy catch up with Audrey Hammonds, the other half of the http://datachix.com (Data Chix duo).
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics)
Notable Quotes Frank’s cold/allergies ([1:00]) Andy is now http://entdna.com (Enterprise Data & Analytics)‘ Chief Data Engineer ([2:00]) Frank wants to be more like http://datadriven.tv/buck_woody/ (Buck Woody) ([3:00]) https://www.innovativearchitects.com/ (Innovative Architects) ([3:50]) Hurricane Irma disrupted Data Driven! ([5:00]) http://datachix.com/ (Data Chix) ([5:20]) https://palmbeachtech.org/ (Palm Beach Tech Association) ([5:45]) Audrey lives at the beach ([8:00]) Audrey escaped COBOL… ([9:50]) … and learned https://www.oracle.com (Oracle) in the Air Force ([12:00]) On COBOL… ([13:00]) Audrey studied Bio-Medical Engineering in college ([14:30]) On building toys for children with prosthetics… ([15:15]) “I’m right here!” – Andy ([17:20]) On Andy’s phone calls… ([17:35]) “I’ve been trapped in here with me for decades, and I am not impressed.” ([21:45]) On Women if Tech… ([23:00]) Being a woman in IT… “It’s a double-edged sword” ([25:20]) https://flow.microsoft.com (Microsoft Flow) ([27:00]) “If you don’t like learning, this is a terrible field…” – Frank ([28:15]) We are constantly learning… ([29:00]) Weaponized hacking ([30:00]) Shoutout to the Frank and Andy show about http://datadriven.tv/elon-musk-good-reasons-afraid-ai/ (Elon Musk) ([32:40]) Data is the new oil ([33:30]) Audrey is putting PowerBI in SPACE! ([36:00]) Movie reference: http://www.imdb.com/title/tt0113243/ (Hackers) ([39:30]) Book Reference: https://www.audible.com/pd/Sci-Fi-Fantasy/The-Eye-of-the-World-Audiobook/B0036NHZ10/ (Wheel of Time) ([40:30]) Book Reference: https://www.audible.com/pd/Sci-Fi-Fantasy/Paradox-Bound-Audiobook/B074WH171J/ (Paradox Bound) ([41:15]) Book Reference: https://www.audible.com/pd/Sci-Fi-Fantasy/Ready-Player-One-Audiobook/B005FRGT44/ (Ready Player One) ([42:00]) Sci-fi television reference: http://www.imdb.com/title/tt0118480/ (Stargate) ([44:00]) Sci-fi television reference: http://www.imdb.com/title/tt0407362/ (Battlestar Gallactica) ([44:30]) Back to school for Audrey! ([45:30]) Randy Dyess’ first sci-fi book: https://smile.amazon.com/First-Contact-Spider-Wars-Book/dp/1520517327/ (First Contact: Spider Wars: Book 1 ) ([49:00]) Mark Russinovich’s book: https://smile.amazon.com/Zero-Day-Jeff-Aiken-Novel/dp/B009GLTZ5K/ (Zero Day) ([50:00]) “I don’t always know what I’m doing.” ([53:00]) “Be ready to fail many, many, many, many times before you get it right.” ([54:00]) https://twitter.com/hashtag/sqlfamily (#SqlFamily) shoutout ([56:45])
Frank and Andy talk with Kira Wetzel about girls+data, running, Harry Potter, and the stream of consciousness.
https://www.girlsanddata.org ()
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics)
Notable Quotes Frank’s home improvement ([2:15]) Kira’s LinkedIn profile ([4:00]) https://www.girlsanddata.org/ (Girls and Data) ([4:30]) http://datadriven.tv/datapoint-talking-girls-data-sql-saturday-charlotte/ (Data Point: Girls and Data at SQL Saturday Charlotte) ([5:12]) https://www.tableau.com/ (Tableau) ([6:00]) “Say a Prayer” ([9:30]) Tourist-y stuff ([12:00]) “Quaint” ([13:00]) “Data found me.” ([13:30]) https://en.wikipedia.org/wiki/Texas_Instruments_TI-99/4A (TI-99), https://en.wikipedia.org/wiki/Qbert (Qbert), and https://en.wikipedia.org/wiki/BurgerTime (BurgerTime) ([16:40]) https://www.girlsanddata.org/ (Girls and Data) ([18:45]) “Try your vegetables” ([22:00]) Andy is right here… ([22:15]) Shoutout to http://sqlcruise.com/ (SQL Cruise) (http://www.techoutbound.com/ (Now Tech Outbound))! ([26:15]) http://www.sqlsaturday.com/705/eventhome.aspx (Richmond SQL Saturday is 24 Mar 2018) ([29:00]) Running, sleeping, and eating ([30:30]) https://www.girlsontherun.org/ (Girls on the Run) ([31:20]) Technology is literally changing the world everywhere you look. ([32:05]) VR Vacations ([33:55]) A stealthy Microsoft Store visit… ([35:45]) Running calms the mind. ([38:15]) https://twitter.com/girlsanddata (@girlsanddata) ([39:00]) Stream of Consciousness and the Harry Potter question, again ([41:00]) Kira listens to http://datadriven.tv (Data Driven) ([42:45]) Is “novitiate” the name of a young wizard? ([44:00])
In this Data Point, Andy talks to the folks who organized and volunteered at the girls + data event at the recent SQL Saturday Charlotte.
Also, Andy tries to get a family member billable.
Frank and Andy chat about the people and things Andy saw at this year’s PASS Summit and Frank talks about his appearance on another data science podcast.
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics)
Notable Quotes Andys excellent PASS Summit 2017 Adventure ([0:58]) Frank responded well ([6:20]) https://podcastwebsites.com/account/aff.php?aff=538 (Podcast Websites rock!) ([9:00]) Frank got it working ([11:50]) https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/provision-vm (Azure Data Science VM) ([14:20]) “How much does that cost?” ([15:15]) “How big is that row?” ([17:15]) On delivering Microsoft demos… ([18:05]) I am Frank’s hero! ([20:30]) Biml in the PASS Summit 2017 Day 1 Keynote. ([20:50]) “Stealth Biml…” ([21:40]) https://smile.amazon.com/Biml-Book-Intelligence-Warehouse-Automation/dp/1484231341 (The Biml Book) ([22:00]) https://www.packtpub.com/web-development/microsoft-silverlight-4-business-application-development-beginner%E2%80%99s-guide (Frank’s Book!) ([23:50]) http://datadriven.tv/kevin_hazzard/ (Kevin Hazzard shout-out) ([26:00]) https://blog.sqlauthority.com/2015/08/20/sql-server-rewriting-database-history-notes-from-the-field-094/ (Kevin’s post about database designs) http://datadriven.tv/rimma-nehme-cosmosdb-planet-scale-applications-selling-door-door/ (Rimma Nehme on CosmosDB, Planet-Scale Applications, and Selling Door-to-Door) ([27:45]) “There are smart people presenting in other rooms.” ([31:45]) https://www.facebook.com/DataDrivenTV/videos/1828120980831615/ (Eugene loves the show!) ([33:00]) …he’s definitely a data scientist.” ([34:00]) THE Frank La Vigne ([35:30]) https://www.facebook.com/DataDrivenTV/ (The Data Driven Facebook page) ([36:00]) http://datadriven.tv/datapoint-finding-inspiration-dunkin-donuts-door-handles-4k-downloads/ (The now-famous Dunkin Donuts Incident) ([36:45]) The Economist Facebook Live ([37:20]) https://itunes.apple.com/us/podcast/data-podcast/id1247751397?mt=2 (The Data Podcast by Rajib Bahar) ([37:45]) https://www.audible.com/pd/Science-Technology/The-Future-of-the-Mind-Audiobook/B00HUBJ8NM/ (Book reference: The Future of the Mind by Michio Kaku) ([39:30]) Does Andy really exist? ([41:41]) http://thedatadrivenbook.com (The Data Driven Book.com) ([44:30]) Frank spends quality time thinking on the beltway… ([47:15]) Pod-fade ([49:00]) On editing… ([50:00]) What does one call a wizard in training? ([53:00])
Frank and Andy ponder the meaning of data in the Data Age, treadmill desks, health data, and re-tooling your skills for AI and Machine Learning.
Links: Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics)
Notable Quotes Frank is working out ([0:45]) Book: https://www.amazon.com/Brain-Rules-Updated-Expanded-Principles/dp/098326337X (Brain Rules) ([5:15]) Frank spoke at his first SQL Saturday! ([9:30]) Cathrine Wilhelmsen interviewed Buck Woody at MSIgnite ([16:30]) GPUs ([17:30]) SQL Server 2017 GA released ([22:00]) SSIS as a Service (not “Sassafras” but close) ([24:45]) https://www.eventbrite.com/e/azure-datafest-microsoft-azure-advanced-analytics-and-big-data-conference-reston-va-october-12-13-tickets-28683737832 (Azure DataFest – Reston, Virginia – 12-13 Oct 2017) ([26:50]) Some triskaidekaphobia ([28:15]) Frank has a new MSDN Magazine column! ([32:15]) Talking with the Farmville local podiatrist… ([34:15]) “Which exit?” ([24:22]) http://datadriven.tv/kent-bradshaw-microsoft-data-science-professional-certification/ (On becoming a data scientist…) ([35:00]) https://ideas.ted.com/brittany-wenger-cancer-research/ (Brittany Wegner) taught herself data . ([36:00]) http://www.franksworld.com (www.FranksWorld.com) ([38:00]) Ask https://twitter.com/SirajRaval (Siraj Raval), https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A (YouTube star) to join us on Data Driven! https://teachablemachine.withgoogle.com (Teachable Machine) – it’s magic. ([41:00]) Crazy talk… ([47:00]) It’s been about a year… ([48:20])
In this show, Frank and Andy chat with Melissa Coates about Googling her name, Data Lakes, and CBIG.
Frank catches up with http://timradney.com (Tim Radney) at SQL Saturday Pittsburgh and Tim shares a story about Andy’s fame.
Frank podcasts live from SQL Saturday Pittsburgh, which is the first time he’s spoken at a SQL Saturday event.
It’s also International Podcasting Day.
In this episode, Frank and Andy talk about the Ignite 2017 conference, quantum computing, great guests, and the effects of hurricanes on podcast production schedules.
Oh yeah and the AI apocalypse. Maybe Elon Musk https://www.vanityfair.com/news/2017/03/elon-musk-billion-dollar-crusade-to-stop-ai-space-x (knows something we don’t).
Links Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics)
Notable Quotes ClearDB strikes again… ([2:45]) Hurricane Irma knocked out last week’s show ([4:30]) Microsoft Ignite ([5:30]) Shoutout to http://datadriven.tv/rimma-nehme-cosmosdb-planet-scale-applications-selling-door-door/ (Rimma Nehme) Shoutout to http://datadriven.tv/buck_woody/ (Buck Woody) Alexa Dev Day ([7:30]) Frank’s WintellectNOW Data Science course: https://www.wintellectnow.com/Videos/Watch?videoId=data-science-for-developers (Data Science for Developers) ([9:00]) Shoutout to http://datadriven.tv/julie-smith-escape-rooms-percussive-maintenance-data-science/ (Julie Smith) ([10:30]) Quantum Computing and Qubits ([11:30]) Television reference: http://www.imdb.com/title/tt0096684/ (Quantum Leap) ([14:20]) Too much CI? ([20:30]) “Ask” is NAN (not a noun) ([21:30]) SSIS as a Service ([22:00]) The SSIS Data Flow Task and REST ([23:45]) Shoutout to http://datadriven.tv/kevin_hazzard/ (Kevin Hazzard) The https://www.youtube.com/watch?v=zNCrMEOqHpc (FedEx commercial) ([24:15]) “All I see is data.” ([25:10]) “AI-first” ([26:55]) “Data Estate” ([27:55]) https://app.curiositystream.com/ (Curiosity Stream) ([28:15]) Shoutout to http://datadriven.tv/lynn-langits-excellent-data-adventure/ (Lynn Langit) “Paranoia is a skill.” ([31:55]) Universal Basic Income and the economics of automation ([32:30]) “The way out is not the way we got in…” ([40:50]) Velocity… ([46:00]) Titling this show ([47:35]) Praying for Puerto Rico ([48:30]) http://datadriven.tv/datapoint-data-disasters/ (Data and Disasters) ([48:50]) Nassim Taleb’s next book ([49:30]) https://www.audible.com/pd/Science-Technology/Antifragile-Audiobook/B009PRJ6BS/ (Antifragile) https://www.audible.com/pd/Science-Technology/Unicorns-Among-Us-Audiobook/B00NSXNRAG (Unicorns Among Us)
Fresh on the heels of http://w2.cleardb.net/ (ClearDB) deleting his entire blog – every post, every comment, everything – Frank reflects on what went wrong, how not to do customer service, and the cloud’s vulnerability to bureaucratic SNAFUs.
In this episode, Frank and Andy talk with https://www.linkedin.com/in/juliesmith0503/ (Julie Smith), a Microsoft Data Platform MVP, Datawarehousing Architect and half of the http://datachix.com/ (Data Chix bloggers).
Show notes coming soon, we’re still blaming the eclipse.
On the 16th anniversary of the terrorist attacks of 9/11, Frank reflects on his personal experience and the impact of data analytics in the wake of disasters: both natural and unnatural.
Links
http://franksworld.com/wtc/ (Frank’s personal account of 9/11)
http://franksworld.com/wtc/Sept11/index.htm (Pictures from NYC that day)
https://www.kaggle.com/c/titanic (Titanic: Machine Learning from Disaster)
https://github.com/mapbox/sandy (Visualizing Hurricane Sandy with NHC data)
In this episode, Frank and Andy talk with Kent Bradshaw, who recently completed the https://academy.microsoft.com/en-us/professional-program/data-science/ (Microsoft Professional Data Science Certification). They chat about the program and about what could be a great Visual Studio Add-in for golf.
In this episode, Frank and Andy reflect on the ethical, legal, and scientific implications of creating AI chat bots based on deceased loved ones. They then ponder what sorts of things can be done with this type of technology, from marketing to political campaigns, and what a certain billionaire social network founder with a treasure trove of data at his disposal could accomplish.
In this show, Frank and Andy talk to Steven Fowler about his recent award for implementing an IoT solution that may change agriculture and nutrition forever.
Show notes coming soon. We blame the eclipse.
In this Data Point, Frank ponders the ethical, spiritual, and philosophical implications of chat bots designed to be “virtual shells” of dearly departed.
Stories Mentioned
http://www.franksworld.com/2017/08/16/how-a-man-turned-his-dying-father-into-ai/ (How a Man Turned His Dying Father Into AI)
http://www.franksworld.com/2017/08/14/the-story-behind-replika-the-ai-app-that-becomes-you/ (The Story Behind Replika, the AI app that becomes you)
Frank and Andy speak with a real, live unicorn (data scientist), Brad Llewellyn.
Links: Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics) Brad Llewellyn: https://twitter.com/BreakingBI (@BreakingBI)
Notable Quotes: Movie Quote – http://www.imdb.com/title/tt0076759/ (Star Wars: A New Hope) ([1:55]) http://www.imdb.com/name/nm0000045/ (Bruce Lee) ([2:20]) Book reference: https://www.audible.com/pd/Science-Technology/Unicorns-Among-Us-Audiobook/B00NSXNRAG?source_code=PDTGBPD060314004R (Unicorns Among Us) ([3:00]) http://charbigroup.com/ (CBIG) – the Charlotte BI Group ([6:45]) https://azure.microsoft.com/en-us/services/machine-learning/ (Azure Machine Learning) ([7:45]) Is Data Science only for super-nerds? ([12:50]) https://www.h2o.ai/driverless-ai/ (H2O’s Driverless AI) ([13:40]) On Automation… ([14:25]) On https://predicsis.ai/ (Predicsis.ai)… ([15:12]) On https://aws.amazon.com/machine-learning/ (Amazon Machine Learning)… ([15:45]) “Why is the ‘why’ important to you?” ([17:00]) Game reference: https://en.wikipedia.org/wiki/The_Incredible_Machine_(series) (The Incredible Machine) ([17:30]) https://en.wikipedia.org/wiki/Statistical_hypothesis_testing (Statistical terms) ([19:15]) Microsoft SQL Server R Services ([21:12]) Movie reference: http://www.imdb.com/title/tt0080455/ (The Blues Brothers) ([22:25]) https://en.wikipedia.org/wiki/Python_(programming_language) (“Python started around 1991.”) – Frank ([24:17]) Video: http://nerdist.com/trap-a-self-driving-car/ (Trapping a self-driving car) ([26:20]) http://www.vanillaice.com/ (Vanilla Ice) reference ([27:50]) Movie paraphrase: http://www.imdb.com/title/tt0343818/?ref_=fn_al_tt_1 (I, Robot)https://www.microsoft.com/en-us/sql-server/sql-server-r-services ( ([28:10]))
In this episode, Frank and Andy talk to Kevin Hazzard.
Links: Sponsor: http://thedatadrivenbook.com (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics) Kevin’s blog: http://devjourney.com (Developer Journey)
Notable Quotes: Frank has a treadmill desk. ([2:35]) “It’s all about collecting the data.” Health is secondary. ([3:25]) On Python… ([5:00]) We love our R listeners! ([6:30]) Never count JavaScript out. ([8:20]) Book reference: https://www.audible.com/pd/History/Our-Magnificent-Bastard-Tongue-Audiobook/B002V1OF16?source_code=PDTGBPD060314004R (Our Magnificent Bastard Tongue) ([8:50]) Book reference: “grok” from https://www.audible.com/pd/Sci-Fi-Fantasy/Stranger-in-a-Strange-Land-Audiobook/B002V8MUYI?source_code=PDTGBPD060314004R (Stranger in a Strange Land) ([10:45]) How would databases be different if we’d started with unlimited memory? ([12:00]) How to use data to drive web traffic. ([17:45]) Generic Activity Tracker architecture ([18:30]) Self-subscribing and auto-expiring microservices ([20:30]) Movie reference: http://www.imdb.com/title/tt0087182 (Dune) ([21:47]) The Walmart-Amazon wars ([22:00]) “Data hunted me down and almost killed me!” ([24:25]) Category theory ([25:30]) Functional, then categorical, then both. ([26:50]) “Sharpening chansaws.” ([28:05]) http://cosmosdb.com (CosmosDB) and https://redis.io/ (Redis Cache) ([30:15]) “I’d love to not have a screen.” ([32:30]) On serving our community ([33:00]) Book recommendation: https://www.audible.com/pd/Fiction/The-Alchemist-Audiobook/B002V0Q4LG?source_code=PDTGBPD060314004R (The Alchemist) ([33:40]) “If you’re a technologist, we sorely need you to serve.” ([35:40]) https://www.meetup.com/Richmond-NET-User-Group/ (Richmond.Net) ([36:45]) https://twitter.com/KevinHazzard (@KevinHazzard)
Chat bots http://www.franksworld.com/2017/08/04/facebook-scraps-ai-chatbots-after-they-created-their-own-language/ (going rogue) https://hothardware.com/news/microsoft-zo-chatbot-goes-rogue-with-offensive-speech-tay-ai (seem) https://en.wikipedia.org/wiki/Tay_(bot) (to be the new norm) and it looks like http://gizmodo.com/revolutionary-chatbots-reportedly-go-rogue-get-reeduca-1797533770 (China has two new virtual dissidents).
What’s going on here? Are these bugs in the software? Or are the bots thinking for themselves and drawing their own conclusions for good and for ill?
In this episode, Frank and Andy talk to Buck Woody of Microsoft.
Warning: This show contains lots of laughter!
Links: Sponsor: http://theDataDrivenBook.com (Audible.com) – Get a free audio book when you sign up for a free trial at http://theDataDrivenBook.com (theDataDrivenBook.com)! Sponsor: http://entdna.com (Enterprise Data & Analytics) Buck’s blog: http://buckwoody.wordpress.com (Backyard Data Science)
Notable Quotes: https://azure.microsoft.com/en-us/documentation/learning-paths/data-science-process/ (TDSP) – Team Data Science Process ([6:30]) MOOC – Massive Online Open Course – “democratizing intelligence” ([7:20]) Buck’s a “warrant officer” [Applied Data Scientist] ([15:40]) How Data Scientists are like your significant other… ([18:00]) BI and Data Mining are not the same thing. ([20:30]) Buck’s Data Science technology Matryoshka Dolls analogy ([22:22]) Movie reference: http://www.imdb.com/title/tt0151804 (Office Space) ([25:30]) “No. And fix the bridges.” ([27:15]) “… as long as we’re not recoring this or anything…” ([28:00]) Buck does not answer my question about how to manage meetings! ([30:30]) Buck loves Andy’s car. ([33:45]) “Big data was invented to process my HR file.” ([34:45])
While Frank is http://datadriven.tv/datapoint-robots-need-better-humans-not-perfect/ (playing with robots) http://datadriven.tv/datapoint-robots-hollywood-vs-reality/ (in Pittsburgh), Andy is packing boxes for “Christmas in July.” There, he reflects on how data is helping charities better help people.
Mentioned in this DataPoint: https://www.samaritanspurse.org/ (Samaritan’s Purse), https://www.samaritanspurse.org/what-we-do/operation-christmas-child/ (Operation Christmas Child), http://thehondurasproject.org/Honduras_Project/Home.html (The Honduras Project), https://www.prisonfellowship.org/ (Prison Fellowship).
Frank, while at the Carnegie Science Museum in Pittsburgh, finds a robot to read his intro line and ponders what it takes for AI systems to be successful. They don’t need to be perfect: they need to be better than humans.
Frank is at the Carnegie Science Museum in Pittsburgh admiring the robotics exhibit when he notices a stark contrast. The vision of robots that Hollywood created hasn’t quite translated to reality.
Data Science Daily Show #18 (July 25, 2017) Show Notes
https://twitter.com/DeepLearn007 (@DeepLearn007) BCG : Competing In The Age Of Artificial Intelligence https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/Fintech?src=hash (#Fintech )https://twitter.com/hashtag/ML?src=hash (#ML )https://twitter.com/hashtag/tech?src=hash (#tech )https://t.co/8N6FGTGCFV (https://www.bcg.com/publications/2017/competing-in-age-artificial-intelligence.aspx)
Bringing Data Analytics to the People https://www.linkedin.com/pulse/bringing-data-analytics-people-frank-la-vigne (https://www.linkedin.com/pulse/bringing-data-analytics-people-frank-la-vigne)
https://twitter.com/KirkDBorne (@KirkDBorne) Artificial Intelligence – Understanding the Hype: https://t.co/FptWJWHZd2 (https://medium.com/towards-data-science/artificial-intelligence-understanding-the-hype-daee0df04695 … )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )
https://twitter.com/gcosma1 (@gcosma1) Nice tutorial on training a recurrent neural network on language modeling https://t.co/1ARgQvRAmM (https://www.tensorflow.org/tutorials/recurrent … )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/TensorFlow?src=hash (#TensorFlow)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) An Introduction to Key Data Science Concepts | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/Analytics?src=hash (#Analytics )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/9clxyErP0o (http://bit.ly/2lScpde)
In this episode, Andy and Frank talk to David Langer of Data Science Dojo.
Links Sponsor: http://audibletrial.com/datadriven (Audible.com) – Get a free audio book when you sign up for a free trial! Sponsor: http://entdna.com (Enterprise Data & Analytics) https://www.audible.com/pd/Self-Development/The-10X-Rule-Audiobook/B005DF6XHQ (The 10X Rule) by https://grantcardone.com/ (Grant Cardone) https://datasciencedojo.com/ (Data Science Dojo)
Notable Quotes Shoutout to http://datadriven.tv/darren-lacey-making-jump-data-science-bi-disneyland-geeks/ (Darren Lacy) ([4:45]) Frank and Andy know people… ([8:00]) “Everything Old is New Again,” and data integration ([15:00]) “https://www.audible.com/pd/Science-Technology/Unicorns-Among-Us-Audiobook/B00NSXNRAG (Unicorns) do not exist.” ([21:30]) There are no brakes on the F Train. ([26:00]) “Data slepps for no one.” ([26:30]) Dave’s data addiction ([32:55]) “I am a first-class nerd.” ([36:30]) Movie reference http://www.imdb.com/title/tt0133093/ (The Matrix) ([39:45]) Movie reference: http://www.imdb.com/title/tt0137523/ (Fight Club) ([40:15]) “You gotta pay the data forward.” ([40:30])
Show Notes
https://twitter.com/ColumbiaVPTL (@ColumbiaVPTL) Learn how https://twitter.com/hashtag/Statistics?src=hash (#Statistics) plays a central role in https://twitter.com/hashtag/DataScience?src=hash (#DataScience) Enroll now in a self pace course on ColumbiaX : https://t.co/HKOGBfUFQn (http://bit.ly/2vSRZBp)
https://twitter.com/KirkDBorne (@KirkDBorne) Great collection of https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning) articles to learn about different https://twitter.com/hashtag/algorithms?src=hash (#algorithms) and classifiers: https://t.co/YViIESBzCp (https://medium.com/towards-data-science/machine-learning/home … )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI)
https://twitter.com/DBaker007 (@DBaker007) 3 Mistakes That Setup https://twitter.com/hashtag/DataScientists?src=hash (#DataScientists) For Failure | https://twitter.com/DataconomyMedia (@DataconomyMedia )https://t.co/h9E1flHq3e (http://ow.ly/Harf30bFqOo )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/DataViz?src=hash (#DataViz )https://twitter.com/hashtag/BigData?src=hash (#BigData)
https://twitter.com/DeborahTannon (@DeborahTannon )https://twitter.com/hashtag/DataScience?src=hash (#DataScience) —Top Stories, Jul 17-23: Machine Learning Applied to Big Data, Explained; 5 Free Resources for Gettin… https://t.co/831Po5KRg8 (http://ift.tt/2v0eOqk)
A podcast guest recently told Frank and I that “data never sleeps.” Apparently, data doesn’t take a day off, either.
Links http://www.acstechnologies.com/ (ACS Technologies)
http://shannonlowder.com/biml-interrogator-demo/ (Biml Interrogator Demo)
As Frank sits in the emergency room with his son, he ponders the idea of “data leakage” and the curious state of IT in healthcare today.
Show Notes
https://curiositystream.com/ (CuriousityStream)
https://en.wikipedia.org/wiki/Windows_XP (Windows XP Wikipedia article)
Pay close attention to Windows XP’s release date
Let the age of Windows XP sink in
Ponder the cost of healthcare and wonder where the money goes.
clearly, it’s not going into IT budgets
Now contemplate the security risks of running 16 year old software
Show Notes
https://twitter.com/gp_pulipaka (@gp_pulipaka) Artificial Intelligence, Explained. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://t.co/6WR6RP3sIz (http://buff.ly/2tmxmAL)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) A Complete Tutorial to learn Data Science in R from Scratch | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/R?src=hash (#R )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/SqE4cpp1eM (http://bit.ly/2r20YNG)
https://twitter.com/gp_pulipaka (@gp_pulipaka) Overview of Artificial Neural Networks and its Applications.https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://t.co/4p9QCNnYoG (http://buff.ly/2tC5P9G)
https://twitter.com/gp_pulipaka (@gp_pulipaka) Neural Network for Genomic Variant with TensorFlow. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/TensorFlow?src=hash (#TensorFlow )https://twitter.com/hashtag/Genomics?src=hash (#Genomics )https://t.co/fkwRW0S8Jn (http://buff.ly/2tkVYd6)
https://twitter.com/_GregoryPrince_ (@_GregoryPrince )https://twitter.com/hashtag/datascience?src=hash (#datascience): PyData https://twitter.com/hashtag/pydata?src=hash (#pydata )https://t.co/mQfRaClL1i (http://buff.ly/2uaS0mk)
Data Science Daily Show Notes
https://twitter.com/debashis_dutta (@debashis_dutta) RT https://twitter.com/SpirosMargaris (@SpirosMargaris) 4 Ways https://twitter.com/hashtag/ArtificialIntelligence?src=hash (#ArtificialIntelligence) is Driving Innovation in 2017 https://t.co/Lk30Wn5gjQ (http://bit.ly/2v74xFF )https://twitter.com/hashtag/fintech?src=hash (#fintech )https://twitter.com/HugoLeveille1 (@HugoLeveille1 )https://twitter.com/hashtag/ML?src=hash (#ML )https://twitter.com/hashtag/AI?src=hash (#AI)
Andreessen Horowitz on the AI Startup Wave http://www.franksworld.com/2017/07/17/andreessen-horowitz-on-the-ai-startup-wave/ (http://www.franksworld.com/2017/07/17/andreessen-horowitz-on-the-ai-startup-wave/)
https://twitter.com/analyticbridge (@analyticbridge) https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning) Demystified https://t.co/7Yi5Rv5Xau (http://buff.ly/2u17Y22 )
https://twitter.com/ValaAfshar (@ValaAfshar) this drone is so good at avoiding obstacles that it can fence https://t.co/7QQLWR92GU (http://po.st/3EP3Nx )
Microsoft Inspire Coverage http://www.franksworld.com/2017/07/13/data-drivens-coverage-of-inspire/ (http://www.franksworld.com/2017/07/13/data-drivens-coverage-of-inspire/)
SQL Saturday Atlanta Coverage http://datadriven.tv/tag/sqlsatatl/ (http://datadriven.tv/tag/sqlsatatl/)
Links: Sponsor: Audible.com http://audibletrial.com/DataDriven (http://audibletrial.com/DataDriven) Sponsor: Enterprise Data & Analytics http://entdna.com/ (http://entdna.com) Reza‘s website: http://radacad.com/ (http://radacad.com) Reza‘s free e-book: Power BI from Rookie to Rock Star http://radacad.com/edition-3-of-free-book-power-bi-from-rookie-to-rock-star-1075-pages (http://radacad.com/edition-3-of-free-book-power-bi-from-rookie-to-rock-star-1075-pages)
Notable Quotes: The future is chilly… in the southern hemisphere. ([5:15]) The State of Training. ([7:20]) “The physics of data still apply.” ([10:00]) How do developers react to the data side of things? ([15:35]) The epic Power BI update cycle ([18:00]) What’s the future of Data Science? ([20:35]) Did Reza find data (or did data find Reza)? ([24:15]) On dogs… ([27:30])
Today is a special day and Andy is excited. It’s Christmas in July. It’s BIML Release Day!
https://varigence.com/bimlexpress (BimlExpress) is a free extension for SQL Server Data Tools (SSDT) that snaps right into Visual Studio. BimlExpress now includes a Preview Pane, previously only available in Mist.
Mist has been re-branded https://varigence.com/bimlstudio (BimlStudio 2017) and sports lots of new features!
https://varigence.com (Varigence) debuts https://varigence.com/bimlflex (BimlFlex) – a commercial Biml framework that greatly accelerates Data Warehouse development. From the product page:
“BimlFlex is a collection of templates, metadata definitions, and tooling that enables you to build an end-to-end data solution without ever writing a single line of code. “
Why are you reading about this at Data Driven? Because data wrangling is still the largest part of the data science job. Automation, such as that offered by Biml, is the key to shortening the data integration cycle.
Andy ran into Tim Mitchell at SQL Saturday Atlanta and they chatted about SSIS, metadata, and the SSIS Catalog.
Andy ran into Michael Wells at SQL Saturday Atlanta and they had a good chat about automating data processing.
Andy takes a quick post-lunch break to chat about why SQL Saturday Atlanta is so great: it’s one of the biggest SQL Saturdays in the world and gathers some of the brightest minds in the field outside of the “big conferences.” It’s also free and community driven.
That and he’s there goofing around with son, who’se volunteering at the event.
Today, Andy is at SQL Saturday Atlanta and he catches up with the guys behind the “https://www.youtube.com/channel/UCFp1vaKzpfvoGai0vE5VJ0w (Guy in a Cube)” YouTube channel to chat about their name, Sinead O’Connor, and PowerBI.
Denny Cherry has been a database consultant for a long time and Frank catches up with him at the Inspire conference to ask him his thoughts on data science and if it’s something his customers are exploring.
Frank gets a tour of Cognitive Services at the Data and Analytics area at Inspire in Washington, DC.
Frank is at the Inspire event this week in Washington, DC and a data visualization installation caught his eye.
Frank is at the Microsoft Inspire show this week in DC and he ran into Kristin Tolle to talk about the core requirements of becoming a data scientist.
While at the Microsoft Inspire conference today in DC, Frank catches up with Brian Moran to talk new convention names and the Democratization of Data Analytics.
Today, Frank is in DC at the Microsoft Inspire conference, which used to be called the Worldwide Partner Conference. It’s where Microsoft gathers partners from around the world and share what their vision and priorities are for the upcoming year.
There are a lot of interesting people in town and it’s our plan to get them on the show, even if for just a quick Data Point.
On this week’s Data Driven, Frank and Andy are honored to have Kamal Hathi on the show. Kamal Hathi is a General Manager at Microsoft. As the co-founder of Microsoft’s multi-billion dollar Analytics and Business Intelligence products, today Kamal leads the team that is responsible for the end-to-end strategy, design and engineering of Power BI. The data analytics and visualization technology delivers an innovative platform, tools and cloud service that helps organizations worldwide easily build and deploy robust interactive data visualization and business intelligence solutions at all scales with low total cost of ownership.
Notable Quotes:
“We’ve [Microsoft] been in this space for a while .. two decades” ([7:02])
“BI for the Masses” ([7:24])
The “5 by 5” design ethic of PowerBI ([8:36])
“PowerBI growing organically like crazy.” ([9:22])
“An organic community that loves the product” ([9:43])
Excel jockeys run the world. ([11:01])
“PowerBI is the PowerPoint for Data” ([12:10])
“Excel is a universal tool and PowerBI works very closely with Excel” ([13:40])
“A number of capabilities that no other tool has” ([14:53])
“PowerBI was built in a modern age, so it’s a modern tool” ([15:33])
Frank “fan boys out” at PowerBI’s awesomeness. ([16:30])
Using Cortana and not realizing your using PowerBI ([16:50])
Leveraging Microsoft Research’s brainpower and innovations ([18:10])
“And then the AI kicks in and finds all kinds of interesting suggestions.” ([19:24])
Detecting “ballot stuffing” in User Voice with PowerBI. ([19:47])
“Assistive Intelligence” ([20:48])
Virtuous cycle of customer feedback and iterative development ([23:59])
Experimental features ([27:27])
“We are Data Driven” ([27:57])
Impacting the world with PowerBI ([29:34])
News organizations, charities, NGOs, and local governments using PowerBI ([32:11])
Karate ([35:58])
Thinking in German ([40:00])
Microsoft Professional Program for Data Science https://academy.microsoft.com/en-us/professional-program/data-science/ (https://academy.microsoft.com/en-us/professional-program/data-science/)
https://twitter.com/gp_pulipaka (@gp_pulipaka) Flow Clustering Using Machine Learning Techniques. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/Networks?src=hash (#Networks )https://t.co/quIPfVxY5f (http://buff.ly/2toO8gQ)
https://twitter.com/evankirstel (@evankirstel) The “https://twitter.com/hashtag/DataScience?src=hash (#DataScience) Arms Race” Has Begun by https://twitter.com/crystalkimmm (@crystalkimmm) on https://twitter.com/barronsonline (@BarronsOnline )https://t.co/yKXsScvHVD (http://www.barrons.com/articles/the-data-science-arms-race-has-begun-1499353043 … )https://twitter.com/hashtag/BigData?src=hash (#BigData)
https://twitter.com/ipfconline1 (@ipfconline1 )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning) – A Non-Technical Introduction. https://t.co/vgd6mj3WCR (http://buff.ly/2gcFFHV ) [via https://twitter.com/gp_pulipaka (@gp_pulipaka)] https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DL?src=hash (#DL )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) 10 Free Must-Read Books for Machine Learning and Data Science | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/cnkTpipF2A (http://bit.ly/2pVGjPc)
https://twitter.com/subhashishpaul (@subhashishpaul )https://twitter.com/hashtag/AI?src=hash (#AI) Can Now Produce Better Art Than Humans. Here’s How. – https://t.co/ALGpZiJ93g (http://klou.tt/eseixesbk1ry )https://twitter.com/hashtag/ArtificialIntelligence?src=hash (#ArtificialIntelligence)
Job Automation Won’t Look Like We Think It Will by @andyleonard http://datadriven.tv/datapoint-ai-automation-jobs/ (http://datadriven.tv/datapoint-ai-automation-jobs/)
In a parking lot in Baltimore, Andy pauses and reflects on what automation will look like vs. the Hollywood vision of it. The robots that will take jobs away will not look anything like we are expecting.
Data Science Daily Story Links
https://twitter.com/gp_pulipaka (@gp_pulipaka) Training AI To Spot Lung Cancer. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/HealthTech?src=hash (#HealthTech )https://twitter.com/hashtag/Cancer?src=hash (#Cancer )https://t.co/ngOYtv5ef2 (http://buff.ly/2toVgtD)
https://twitter.com/kdnuggets (@kdnuggets) Inference Made Simple – Applying the reasoning power of GRAKN.AI to find new https://twitter.com/hashtag/knowledge?src=hash (#knowledge) about the world https://t.co/e9TXhd0DHM (http://buff.ly/2toYeOQ )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )
https://twitter.com/jenstirrup (@jenstirrup )https://twitter.com/makeurdatawork (@makeurdatawork) Nice summary of https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning) and https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning): https://t.co/FTyScI4bLG (http://dld.bz/fTqqh )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://t.co/R6UOVFA6Zb (pic.twitter.com/R6UOVFA6Zb) via https://twitter.com/KirkDBorne (@kirkdborne)
https://twitter.com/DeborahTannon (@DeborahTannon )https://twitter.com/hashtag/DataScience?src=hash (#DataScience) — The Best Approach to Decision Making Combines Data and Managers’ Expertise : https://t.co/bYixYkzw1l (http://ift.tt/2tpviXe)
https://twitter.com/DataLiterati (@DataLiterati) Wow. Each day you drive an https://twitter.com/hashtag/autonomous?src=hash (#autonomous) car (assuming 1hr/day), it generates 4TB. https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://twitter.com/hashtag/datascience?src=hash (#datascience )https://twitter.com/hashtag/sensors?src=hash (#sensors )https://twitter.com/hashtag/iot?src=hash (#iot http://www.networkworld.com/article/3147892/internet/one-autonomous-car-will-use-4000-gb-of-dataday.html)
Data Science Daily Show Notes
https://twitter.com/gp_pulipaka (@gp_pulipaka) A https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning) project: Cure 100 diseases in 10 years. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/HealthTech?src=hash (#HealthTech )https://twitter.com/RecursionPharma (@RecursionPharma )https://t.co/oPv5SHwwsL (http://buff.ly/2tPCGvo)
https://twitter.com/gp_pulipaka (@gp_pulipaka) From Automatons to Deep Learning. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://t.co/NUDXXLwHDd (http://buff.ly/2sPSJp5)
https://twitter.com/kdnuggets (@kdnuggets)What do AB tests actually measure? https://medium.com/@akelleh/what-do-ab-tests-actually-measure-e89ebd63a73e (https://medium.com/@akelleh/what-do-ab-tests-actually-measure-e89ebd63a73e)
https://twitter.com/dataiku (@dataiku) [Infographic] Metrics and methodologies to figure out if your https://twitter.com/hashtag/machinelearning?src=hash (#machinelearning) model sucks. https://twitter.com/hashtag/datascience?src=hash (#datascience )https://t.co/KKdWZuyjav (http://hubs.ly/H07QzCc0 ) by https://twitter.com/dataiku (@dataiku)
Andy is out and about with his family today at King’s Dominion and he pauses to reflect on how data analytics is used at amusement parks.
Links mentioned:
https://themeparkanalysis.com/ (https://themeparkanalysis.com/)
http://dataconomy.com/2016/06/three-times-big-data-made-amusement-parks-better/ (http://dataconomy.com/2016/06/three-times-big-data-made-amusement-parks-better/)
http://www.analyticbridge.datasciencecentral.com/profiles/blogs/amusement-park-analytics-increasing-both-fun-and-roi (http://www.analyticbridge.datasciencecentral.com/profiles/blogs/amusement-park-analytics-increasing-both-fun-and-roi)
Data Science Daily Story links
https://twitter.com/analyticbridge (@analyticbridge) The Guide to Learning Python for Data Science https://t.co/d4OojsWZGH (http://ow.ly/lybf30d83OW)
https://twitter.com/Rbloggers (@Rbloggers) More Companies using R https://t.co/XN0YdeiDLp (https://wp.me/pMm6L-DH0 )https://twitter.com/hashtag/rstats?src=hash (#rstats )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/wgryan (@wgryan)
https://twitter.com/kdnuggets (@kdnuggets) What Advice Would You Give Your Younger https://twitter.com/hashtag/DataScientist?src=hash (#DataScientist) Self? https://t.co/WRH92PCsDm (http://buff.ly/2sGmi0T )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/mattmayo13 (@mattmayo13)
https://twitter.com/analyticbridge (@analyticbridge) Why and how you should build a data dictionary for big data sets https://t.co/DNADsfFVUv (http://ow.ly/l2jc30d83P6)
https://twitter.com/KirkDBorne (@KirkDBorne) 10 types of regressions. Which one to use? https://t.co/l9aERhGa3i (http://bit.ly/2bvjcoK )https://twitter.com/hashtag/abdsc?src=hash (#abdsc )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/Statistics?src=hash (#Statistics)
Links:
Kaggle Titanic data set – https://www.kaggle.com/c/titanic/data (https://www.kaggle.com/c/titanic/data) ([14:20])
Sponsor: Audible.com http://audibletrial.com/DataDriven (http://audibletrial.com/DataDriven)
Sponsor: Enterprise Data & Analytics http://entdna.com/ (http://entdna.com)
Notable Quotes:
PowerPoint real-time translation ([8:00])
The Hype Cycle ([10:45])
On reaching 100% accuracy… ([12:30])
Advice on how to make the jump from BI to Data Science ([25:45])
Which to learn first: Python or R? ([27:20])
Supporting a family as a musician ([34:00])
Microsoft is Disneyland for geeks ([35:15])
A moment of silence for Clippy ([40:50])
On AI’s generating art… ([49:40])
Data Science Daily
https://twitter.com/TopCyberNews (@TopCyberNews) Replying to https://twitter.com/SeverineLienard (@SeverineLienard )https://twitter.com/TheMisterFavor (@TheMisterFavor) and 8 others ! https://twitter.com/julsimon (@julsimon) ‘Want to learn to code? Start with https://twitter.com/hashtag/Python?src=hash (#Python)‘ by Serdar Yegulalp https://t.co/FSDjh1OAQU (http://www.infoworld.com/article/3204016/python/what-is-python.html … )https://twitter.com/hashtag/Data?src=hash (#Data )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/DataViz?src=hash (#DataViz )https://twitter.com/infoworld (@infoworld)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/Analytics?src=hash (#Analytics )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/nf8q47EKuL (http://bit.ly/2jhcZPw)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) 24 Data Science, R, Python, Excel, and Machine Learning Cheat Sheets | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/59I7mpK1z3 (http://bit.ly/2mAVd7m)
https://twitter.com/YarmolukDan (@YarmolukDan) Why you should invest in https://twitter.com/hashtag/AI?src=hash (#AI) talent now https://twitter.com/hashtag/datascience?src=hash (#datascience )https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://twitter.com/hashtag/machlinelearing?src=hash (#machlinelearing )https://twitter.com/hashtag/ML?src=hash (#ML )https://t.co/3JVMYZQvAQ (http://buff.ly/2sB7ega)
Leveling Up in Your Career as a Data Scientist/Engineer http://www.franksworld.com/2017/06/29/leveling-up-in-your-career-as-a-data-scientistengineer/ (http://www.franksworld.com/2017/06/29/leveling-up-in-your-career-as-a-data-scientistengineer/)
It’s Friday night and Frank’s https://www.youtube.com/watch?v=5qm8PH4xAss (up in the club) — Sam’s Club.
As it turns out, Wal-Mart, the parent company of Sam’s Club, is deep into big data. And by deep I mean really deep. To https://www.forbes.com/sites/bernardmarr/2017/01/23/really-big-data-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud/#5c1e77f26c10 (the tune of 40+ petabytes deep).
What’s more, the Arkansas based retailer, has over 20,000 stores in 28 countries, is currently building the world’s largest private cloud, set to process 2.5 petabytes of data every hour. Let that the enormity of that sink in.
Now the plot thickens, Wal-Mart is now telling some technology companies that if they to continue to do business with the retail giant, http://www.foxbusiness.com/features/2017/06/21/wal-mart-to-vendors-get-off-amazons-cloud.html (they can no longer run applications for the retailer on AWS).
While the AWS ban doesn’t apply to all their suppliers, you have to wonder how long until it does. And, given how savvy Bezos and company are in the lobbying space, will the government step in?
News stories mentioned:
http://www.foxbusiness.com/features/2017/06/21/wal-mart-to-vendors-get-off-amazons-cloud.html (Wal-Mart to Vendors: Get Off of Amazon’s Cloud)
https://www.forbes.com/sites/bernardmarr/2017/01/23/really-big-data-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud/#5c1e77f26c10 (Really Big Data at Wal-Mart)
Data Science Daily Show Notes
https://twitter.com/dataiku (@dataiku) Scrapping selfies on Instagram and analysing them. https://t.co/6y5VIWV8EF (http://hubs.ly/H07VHdd0 )https://twitter.com/hashtag/datascience?src=hash (#datascience) HT https://twitter.com/BananaData (@BananaData)
https://twitter.com/evankirstel (@evankirstel )https://twitter.com/hashtag/AI?src=hash (#AI) Just “Landed” a Boeing 737 for the First Time By Itself https://t.co/xHA2OcAswz (http://bigthink.com/robby-berman/ai-just-landed-a-boeing-737-for-the-first-time-by-itself … )https://twitter.com/hashtag/aviation?src=hash (#aviation )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning)
https://twitter.com/gp_pulipaka (@gp_pulipaka) Understanding the A.I. Hype Cycle, in 5 Stats. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://t.co/J8oIX0MmG5 (http://buff.ly/2tvNWOi)
https://twitter.com/BigDataGal (@BigDataGal )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/Sale?src=hash (#Sale) :: Data Science: Supervised Machine Learning in Python Only $15 thru 07/01 https://www.udemy.com/data-science-supervised-machine-learning-in-python/?siteID=.JDLXjeE.wk-ErbxrC6cDnMgRSBxht6ewQ&LSNPUBID=JDLXjeEwk (https://www.udemy.com/data-science-supervised-machine-learning-in-python/?siteID=.JDLXjeE.wk-ErbxrC6cDnMgRSBxht6ewQ&LSNPUBID=JDLXjeEwk)
https://twitter.com/MikeTamir (@MikeTamir) Facebook releases an https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience) platform for building smarter chatbots https://t.co/8DBAtadDUK (http://bit.ly/2sUOPyI)
Data Science Daily Show Notes
https://twitter.com/gp_pulipaka (@gp_pulipaka) – https://t.co/kBEy5G3Pus (Computer system predicts products of chemical reactions). https://twitter.com/hashtag/BigData?src=hash (#BigData) https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning) https://twitter.com/hashtag/DataScience?src=hash (#DataScience) https://twitter.com/hashtag/AI?src=hash (#AI) https://t.co/sk8Yz8CUf3 (pic.twitter.com/sk8Yz8CUf3)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) – https://t.co/TRt2fkHwHV (Fine List Of 50 Top World Big Data Experts To Follow In 2017) https://twitter.com/Dell (@Dell) https://twitter.com/KirkDBorne (@KirkDBorne) https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) https://twitter.com/TamaraMcCleary (@TamaraMcCleary) https://twitter.com/TE (@Te)
https://twitter.com/kdnuggets (@kdnuggets) – https://t.co/6z5ywgjWgV (Introduction to Anomaly Detection) https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning)
https://twitter.com/KirkDBorne (@KirkDBorne) – The https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning) https://t.co/8t7eqDxnpt (Age Of Computing Will Fuel Top & Bottom Line Growth:) https://twitter.com/hashtag/BigData?src=hash (#BigData) https://twitter.com/hashtag/DataScience?src=hash (#DataScience) https://twitter.com/hashtag/AI?src=hash (#AI) https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning)
One hundred years ago, there were hardly any automobiles. Accordingly, there we no gas stations or car mechanics.
Over time, these gas stations evolved to have convenience stores attached to them. No one in 1917 saw that coming.
Now, imagine what new business types will evolve over the next one hundred years when the data revolution has played out and made its impact on society.
Data Science Daily Show Notes
https://twitter.com/FastCompany (@fastcompany) What If The Data Science “Skills Gap” Is Just A Hiring Hot Mess? One veteran data scientist explains why asking for advanced degrees and X years of experience is creating artificial scarcity. https://www.fastcompany.com/40432834/what-if-the-data-science-skills-gap-is-just-a-hiring-hot-mess (https://www.fastcompany.com/40432834/what-if-the-data-science-skills-gap-is-just-a-hiring-hot-mess)
https://twitter.com/gp_pulipaka (@gp_pulipaka) Scientists harness ‘mind reading’ technology to decode complex thought. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://t.co/CnhZA8O6dJ (http://buff.ly/2tiKlCj)
https://twitter.com/gp_pulipaka (@gp_pulipaka) Machine Learning and the Language of the https://twitter.com/hashtag/Brain?src=hash (#Brain). https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/NeuroScience?src=hash (#NeuroScience )https://t.co/ttc6ImzLM6 (http://buff.ly/2sVgHRj)
https://twitter.com/KirkDBorne (@KirkDBorne) Mastering https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning) with https://twitter.com/hashtag/Python?src=hash (#Python) in Six Steps (book) https://t.co/HYZNHkBhid (http://bit.ly/2ub7QKx )https://twitter.com/hashtag/abdsc?src=hash (#abdsc )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )
https://twitter.com/gp_pulipaka (@gp_pulipaka) Computer system predicts products of chemical reactions. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )
Here are all the links to stories mention in today’s podcast.
Data Science Daily Show Notes
https://twitter.com/jackverr54 (@jackverr54 )https://twitter.com/hashtag/selfDrivingCars?src=hash (#selfDrivingCars) Volvo and Autoliv aim to sell self-driving cars with https://twitter.com/hashtag/Nvidia?src=hash (#Nvidia) AI tech by 2021 https://t.co/0kH00jK3zZ (http://tcrn.ch/2th2bX6 ) via https://twitter.com/TechCrunch (@techcrunch)
@Ronald_vanLoon Best Big Data, Data Science, Data Mining, and Machine Learning podcasts | https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataMining?src=hash (#DataMining )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/AkikSryrzw (http://bit.ly/1InIKHt)
https://twitter.com/carrolltoonz (@carrolltoonz) Create a problem-solving infographic to produce shareable & link-worthy content. https://twitter.com/NadyaKhoja (@NadyaKhoja http://contentmarketinginstitute.com/2017/05/principles-creating-infographics/)
https://twitter.com/evankirstel (@evankirstel) Oxford University https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/startup?src=hash (#startup )https://twitter.com/diffblueHQ (@diffblueHQ) has raised £17M in Series A funding https://t.co/wvkyDf3z9R (https://www.topbuzz.com/article/i6436215986352816650?app_id=1106 …)
https://twitter.com/MapR_EMEA (@MapR_EMEA) The Lord of the Things: https://twitter.com/hashtag/Spark?src=hash (#Spark) or https://twitter.com/hashtag/Hadoop?src=hash (#Hadoop)? – https://t.co/iajEJcNkPc (http://bit.ly/1PoQj4v ) by https://twitter.com/KirkDBorne (@KirkDBorne )https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://twitter.com/hashtag/datascience?src=hash (#datascience)
http://datadriven.tv/fear-loathing-data-science/ (Fear and Loathing in Data Science podcast episode)
Show Notes In this show, Frank and Andy talk about the state of the show and what we’ve learned so far.
Links:
Sponsor: Audible.com – Get a free audio book when you sign up for a free trial! http://audibletrial.com/datadriven (http://audibletrial.com/datadriven)
Notable Quotes
Fear and loathing in Data Science ([1:10])
Editors! They’re everywhere! ([3:00])
Cancer research and data science and http://datadriven.tv/lynn-langits-excellent-data-adventure/ (the Lynn Langit show) ([8:30])
Not optimistic about the right thing being done… ([13:30])
Movie reference: Mr. Smith Goes to Washington ([14:45])
Television reference: House of cards ([14:50])
The http://datadriven.tv/donald-farmer-talks-nakatomi-space-ambiguity-gatekeepers-vs-shopkeepers/ (Donald Farmer show) + Blockchain ([16:30])
Blockchain to verify large data sets ([21:20])
Yottabytes ([25:20])
http://datadriven.tv/jen-underwood-data-visualization-automating-data-science/ (Jen Underwood) ([26:00])
Right-to-left design ([29:45])
On being a digital immigrant… ([32:20])
What is a webmaster? ([36:00])
Movie reference: World War Z ([37:15])
Data integration is like building a house ([41:00])
It’s not that the data is bad, sometimes it’s just not there. ([45:30])
The architect’s cycle… ([49:50])
Back when we learned statistics, we had a deck of cards and a bag of marbles. ([53:30])
In this DataPoint, Andy Leonard sits down with Neil Hambly to chat about data while having tacos and yelling at people who honk their horns.
Links: https://www.datamovements.co.uk/ (Data Movements)
Notable Quotes: DBA and data migration services, performance, and security ([0:30]) Slicing and dicing business data using Power BI ([1:30]) Using Power BI for licensing cost analysis ([2:25]) For more information contact Neil: info@datamovements.co.uk Taco City ([3:30]) “This is the polite side…” ([3:45])
Data Science Daily Show Notes First of all, I’d like to thank everyone who attended my talk yesterday and shared it across social media!
https://twitter.com/AndySugs (@AndySugs) RT: @SavranWeb Starting with https://twitter.com/hashtag/SQLServer?src=hash (#SQLServer) R Services.(Server/Client installations) https://t.co/0nC90q32vi (https://goo.gl/nrqTtN ) https://twitter.com/hashtag/sql?src=hash (#sql )https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/dat?src=hash (#dat)…
https://twitter.com/DD_NaNa_ (@DD_NaNa_) Natural Language Processing with Deep Learning in Python https://t.co/vOxdaUkHHP (https://goo.gl/xYGQqU )https://twitter.com/hashtag/NLP?src=hash (#NLP )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/Python?src=hash (#Python)
https://twitter.com/kdnuggets (@kdnuggets) Mining Twitter Data with https://twitter.com/hashtag/Python?src=hash (#Python) Part 1: Collecting Data https://twitter.com/hashtag/KDN?src=hash (#KDN )https://t.co/Zmg25tTUWS (http://ow.ly/bAdx30caI9H)
https://twitter.com/rweekly_live (@rweekly_live) R Weekly 2017-26 Reddit Hug, Paradox https://twitter.com/hashtag/rstats?src=hash (#rstats )https://twitter.com/hashtag/datascience?src=hash (#datascience https://rweekly.org/2017-26.html)
https://twitter.com/hashtag/BigData?src=hash (#BigData): Not Doing Big Data in the Cloud? Better Get There – InformationWeek https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://t.co/TSPEKa7b2L (http://buff.ly/2tdwI8l)
In this Data Point, Frank speaks shortly after giving his presentation and reflects on how great the http://www.data-intelligence.ai/ (Data Intelligence Conference) was.
In this Data Point, Andy talks about what has been going on with his European trip as he awaits to board his flight home.
In this Data Point, Frank talks about the inspiring and awesome people he met at the show so far.
In this Data Point, Frank and his special co-host explore the Data Intelligence Conference and the great swag they are giving away.
Spoiler alert: it’s tough to beat the appeal of a fidget spinner to a seven year old!
Data Science Daily Notes for June 23, 2017
https://twitter.com/Mr_Prometheus (@Mr_Prometheus )The https://twitter.com/hashtag/DataScience?src=hash (#DataScience) Renaissance via: https://twitter.com/robdthomas (@robdthomas) https://medium.com/towards-data-science/the-data-science-renaissance-166cddde898f (https://medium.com/towards-data-science/the-data-science-renaissance-166cddde898f)
https://twitter.com/pakinproton (@pakinproton )How Much Embellishment In Your Data Visualizations? https://t.co/jt3wVQ1Bg1 (https://datarvalue.blogspot.mx/2017/06/how-much-embellishment-in-your-data.html … )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/Datavisualization?src=hash (#Datavisualization)
https://twitter.com/SethGrimes (@SethGrimes) Eight reasons to attend the June 27-28 Sentiment Analysis Symposium https://t.co/bYcuhDb3Mm (https://breakthroughanalysis.com/2017/06/07/eight-reasons-to-attend-the-june-27-28-sentiment-analysis-symposium/ … )https://twitter.com/SentimentSymp (@SentimentSymp )https://twitter.com/hashtag/NLP?src=hash (#NLP )https://twitter.com/hashtag/EmotionAI?src=hash (#EmotionAI )https://twitter.com/hashtag/CX?src=hash (#CX )https://twitter.com/hashtag/MRX?src=hash (#MRX )https://twitter.com/hashtag/VOC?src=hash (#VOC)
https://twitter.com/kdnuggets (@kdnuggets )Matrix Factorization in PyTorch https://twitter.com/hashtag/Python?src=hash (#Python )https://t.co/jwERpiwXtn (http://buff.ly/2sWNpny)
Data Science Daily Show Notes
@theRegister Learn Machine Learning in 15 Miinutes https://www.theregister.co.uk/2017/06/21/15_minutes_in_machine_learning/ (https://www.theregister.co.uk/2017/06/21/15_minutes_in_machine_learning/)
https://twitter.com/KirkDBorne (@KirkDBorne) Collections of great https://twitter.com/hashtag/DataScience?src=hash (#DataScience) articles at https://twitter.com/DataScienceCtrl (@DataScienceCtrl )https://t.co/8rFVNdnXv0 (http://bit.ly/2rWyeWY )https://twitter.com/hashtag/abdsc?src=hash (#abdsc )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/Statistics?src=hash (#Statistics )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/IoT?src=hash (#IoT)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) Why R is the best data science language to learn today | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/R?src=hash (#R )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/vNcd0zGy2b (http://bit.ly/2j6fYGO)
AWS Greengrass makes it easier for business to develop for IoT. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/IoT?src=hash (#IoT )https://twitter.com/hashtag/Analytics?src=hash (#Analytics )https://twitter.com/hashtag/EdgeComputing?src=hash (#EdgeComputing )https://t.co/51UBlpYzmp (http://buff.ly/2sqQ9cO)
https://twitter.com/joenglert (@joenglert) Why https://twitter.com/hashtag/AI?src=hash (#AI) Would Be Nothing Without https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/datascience?src=hash (#datascience )https://twitter.com/hashtag/deeplearning?src=hash (#deeplearning )https://twitter.com/hashtag/IoT?src=hash (#IoT )https://twitter.com/hashtag/wearables?src=hash (#wearables )https://twitter.com/hashtag/smartcities?src=hash (#smartcities )https://twitter.com/hashtag/disruption?src=hash (#disruption https://www.forbes.com/sites/bernardmarr/2017/06/09/why-ai-would-be-nothing-without-big-data/)
I had been wanting to do create a podcast for a while, but it was a cold morning in November that kick started the podcast that stands before you now. As a fun fact, I had a podcast that ran for about a month in 2005, but it really lacked a focus and direction. This time I was determined to do it right. Most importantly, I was committed to doing it.
I decided to share some of the podcast’s origin story today since I activated my hosting account a month ago yesterday and after seeing this image flash on my Twitter feed.
I decided that the time had come to seize the day. After getting a concussion that sidelined me for a few weeks, I realized that our time on this world is short and if you have an idea, run with it while you are still capable of running.
It’s also an honor to be nearing the 4000 download mark so soon. The show has been well received and well reviewed. We really appreciate that and want to pay it forward by offering assistance to anyone who is also in that limbo between ideation and execution.
If you’re curious about creating a podcast, reach out and I can help you get started. Also, I can’t say enough good things about https://podcastwebsites.com/account/aff.php?aff=538 (PodcastWebsites.com), if you use the code HOSTME at checkout, you’ll get free access to the stats package they provide. If you use https://podcastwebsites.com/account/aff.php?aff=538 (this link), it also helps support the show.
Thank you,
Frank & Andy
Data Science Daily Show Notes
https://twitter.com/ImDataScientist (@ImDataScientist )RT https://twitter.com/bobehayes (@bobehayes): 7 Common https://twitter.com/hashtag/DataScience?src=hash (#DataScience) Mistakes and How to Avoid Them https://t.co/Wdi50cdirD (http://bit.ly/1QtEPQt ) with https://twitter.com/KirkDBorne (@KirkDBorne )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/veracity?src=hash (#veracity)
https://twitter.com/MachinesLearnIT (iT @MachinesLearnIT ) 10 Free https://twitter.com/hashtag/MustReads?src=hash (#MustReads): https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning)+https://twitter.com/hashtag/Data?src=hash (#Data )https://twitter.com/hashtag/Science?src=hash (#Science )https://t.co/8Q7jZTOk6G (http://cm.gy/9rnj )https://twitter.com/hashtag/smarttech?src=hash (#smarttech )https://twitter.com/hashtag/ML?src=hash (#ML )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MustRead?src=hash (#MustRead )
https://twitter.com/analyticbridge (@analyticbridge) 80+ Free Data Science Books https://t.co/HTBy1vGZEg (http://buff.ly/2sFsxku )
https://twitter.com/Reza_Zadeh (@Reza_Zadeh )Dataset: 300k videos tagged with 400 human actions, from DeepMind. Free to download. https://t.co/QT5iahrxdu (https://deepmind.com/research/open-source/open-source-datasets/kinetics/ …)
Data Science Daily for Jun 20, 2017 Show Notes
https://twitter.com/DeepLearn007 (@DeepLearn007) Machine Learning: A gentle introduction https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/machinelearning?src=hash (#machinelearning )https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://twitter.com/hashtag/fintech?src=hash (#fintech )https://twitter.com/hashtag/ML?src=hash (#ML )https://twitter.com/hashtag/tech?src=hash (#tech )https://t.co/AysbY4kQpC (http://rcardin.github.io/machine-learning/artificial-intelligence/2017/06/18/machine-learning-a-gentle-introduction.html …)
https://twitter.com/AndySugs (@AndySugs) RT: @Rbloggers: Data Science Tool Market Share Leading Indicator: Scholarly Articles https://t.co/UdolyOGUNS (https://wp.me/pMm6L-Dz9 )https://twitter.com/hashtag/rstats?src=hash (#rstats )https://twitter.com/hashtag/DataScience?src=hash (#DataScience)
https://twitter.com/AmyxIoT (@AmyxIoT) It’s time for an intelligent conversation on artificial intelligence – The Hill (blog) https://t.co/J3yJEcm7OG (https://goo.gl/K7Rl52 ) ArtificialIntelligence AI
http://datadriven.tv/datapoint-automation-apocalypse-counterpoint-real-time-donuts/ (DataPoint Automation Apocalypse Counterpoint: Real Time Donuts)
https://twitter.com/KirkDBorne (@KirkDBorne) Comprehensive tutorial on Network Visualization with R: https://t.co/CY9mvgfvru (http://kateto.net/network-visualization?utm_campaign=Data%2BElixir&utm_medium=email&utm_source=Data_Elixir_136 … )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/dataviz?src=hash (#dataviz )https://twitter.com/hashtag/Rstats?src=hash (#Rstats )https://twitter.com/hashtag/DataScience?src=hash (#DataScience) HT https://twitter.com/dataelixir (@dataelixir)
In this episode, Frank and Andy talk with Rimma Nehma about CosmosDB, Planet-Scale applications, and how she got started in Data.
Links https://azure.microsoft.com/en-us/blog/author/rimman/ (Posts by Rimma Nehme) http://cosmosdb.com (CosmosDB.com) https://twitter.com/rimmanehme (@rimmanehme) https://twitter.com/AzureCosmosDB (@AzureCosmosDB) Sponsor: http://entdna.com (Enterprise Data & Analytics) – We are here to help. Sponsor: http://audibletrial.com/datadriven (Audible.com) – Get a free audio book when you sign up for a free trial!
Notable Quotes Submitting to the PASS Summit 2017 ([1:10]) Blues Brothers movie reference ([3:50]) Data needs to be Everywhere ([11:00]) Planet scale ([16:00]) Spiderman reference – from Rimma! ([17:30]) Is this science fiction? ([24:24]) Battle-tested. ([25:30]) Open-source software analytics ([27:30]) The CosmosDB simulator ([32:44]) A little startup inside Microsoft ([35:30]) Rimma found query optimization really, really boring. ([37:45]) On family… ([40:45]) CosmosDB is truly out of this world. ([48:00]) On reading… ([42:00]) Selling door-to-door ([44:45])
https://www.krispykreme.com/ (Krispy Kreme) is a chain of donut shops here in the US that originated in Atlanta. If you’ve ever been to a Krispy Kreme, then you’ve probably seen https://www.youtube.com/watch?v=Qu0ISv_GeHI (the machine that makes the donuts) that’s embedded in most stores. It’s fascinating to watch them go from raw dough to tasty treat right before your eyes — all without human intervention.
Watching this process earlier today made think about the “impeding doom” coming from the rise of AI systems that will take away all the jobs. Such predictions have been made in the past and, while they did have some short term impact, over the long haul, job markets evolved and people found new ways to earn an income.
This time is different, however, warn the experts. But is it really different? What if automated technology systems can make a more desirable product (in this case hot, fresh donuts) a more viable business model. For instance, Dunkin Donuts, another donut store chain, makes most of their product first thing in the morning. While their donuts are tasty, they don’t have that “just made” taste or smell. I’ve not seen Dunkin Donuts make their donuts, but I imagine their system is not as automated as Krispy Kreme’s and, if it is, it’s certainly not as decentralized.
They may have a donut factory with the same types of machines, but they are likely centralized facilities serving multiple stores. In short, it’s not possible for them to offer the “just made” taste and experience. Without automation, Krispy Kreme couldn’t either.
With their value add of “hot and freshly made” donuts, they’ve managed to expand in a space already crowded with well established competitors. As a result, their clever use of automation has created thousands of jobs and they’ve expanded internationally. All of this in an economy that’s been hostile to growth. (See https://www.statista.com/statistics/297017/number-of-krispy-kreme-doughnuts-employees-by-type/ (https://www.statista.com/statistics/297017/number-of-krispy-kreme-doughnuts-employees-by-type/) for some raw stats on their growth).
So, will the coming age of AI eliminate jobs. Yes. In fact, it already has. But it will also offer opportunities for entrepreneurs and businesses that can deliver the types of products and services people want and do so in a way that would not be possible without that kind of automation.
In short, my faith in the future has been restored by Krispy Kreme.
Data Science Daily Show Notes
@gp_pulipaka Efficient https://twitter.com/hashtag/CNNs?src=hash (#CNNs) for Mobile Apps. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/TensorFlow?src=hash (#TensorFlow )https://t.co/eCodXD2r5j (http://buff.ly/2seLPLo )
https://twitter.com/gp_pulipaka (@gp_pulipaka) The Memory Scalability At The Heart Of “The Machine.” https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/InMemoryComputing?src=hash (#InMemoryComputing )https://t.co/axQehHnmQ6 (http://buff.ly/2sgzQNn )
https://twitter.com/KirkDBorne (@KirkDBorne) 15 Applications of https://twitter.com/hashtag/AI?src=hash (#AI) in Marketing: https://t.co/bLdBVMVAq2 (http://www.smartinsights.com/managing-digital-marketing/marketing-innovation/15-applications-artificial-intelligence-marketing/ … )https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/DigitalMarketing?src=hash (#DigitalMarketing )https://twitter.com/hashtag/martech?src=hash (#martech )https://twitter.com/hashtag/CMO?src=hash (#CMO)
https://twitter.com/Ronald_vanLoon (@Ronald_vanLoon) Quantum Computing and Deep Learning. How Soon? How Fast? | https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/Artificialintelligence?src=hash (#Artificialintelligence )https://twitter.com/hashtag/RT?src=hash (#RT )https://t.co/q73E3Vbcw2 (http://bit.ly/2rtchlq )
Happy Father’s Day from Data Driven to all the Data Science Dads out there!
We didn’t launch in time for Mother’s Day to celebrate all the Machine Learning Moms out there. Next year!
Also, a big shout out to Andy Leonard for all his hard work at SQL Saturday Dublin and his live coverage of the event. Look in the feed or check out all the posts tagged from yesterday http://datadriven.tv/tag/sqlsaturdaydublin/
Last, but certainly not least, a huge thank you to all our fans who have made this podcast a success!
While at SQL Saturday Dublin, Andy asks the experts: “Where does your area of expertise intersect with Data Science?”
There are some thought provoking answers.
Andy talks with Microsoft’s Buck Woody about what an Applied Data Scientist does, Power BI, and the rapid pace of innovation in the data space.
Recorded live at SQL Saturday Dublin on June 17, 2016.
Andy met up with Joe Keating at SQL Saturday Dublin about simplifying data wrangling, changing the world, and beards.
Andy is live at SQL Saturday Dublin and he talk with the http://www.scarydba.com/ (Scary DBA himself, Grant Fritchey.)
Fun fact, Frank used to work with Grant in the mid-90s at an investment bank on Wall Street. actually, it was Grant who first showed him how to use Photoshop. And the rest, as they say, was history.
Data Science Daily Show Notes
https://twitter.com/BourseetTrading (@BourseetTrading) https://twitter.com/hashtag/Facebook?src=hash (#Facebook )https://twitter.com/hashtag/AI?src=hash (#AI) Enables https://twitter.com/hashtag/Bots?src=hash (#Bots) to Negotiate, Compromise https://twitter.com/facebook (@facebook )https://twitter.com/hashtag/FAIR?src=hash (#FAIR )https://twitter.com/hashtag/IoT?src=hash (#IoT )https://twitter.com/hashtag/ML?src=hash (#ML )https://twitter.com/hashtag/analytics?src=hash (#analytics )https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://t.co/UQV7tbHL9W (http://www.news18.com/news/tech/facebook-ai-enables-bots-to-negotiate-compromise-1433135.html … )https://twitter.com/CNNnews18 (@CNNnews18)
@gcosma1 Word2Vec (skip-gram neural network model): PART 1 – Intuition by @ManishChablani https://medium.com/towards-data-science/word2vec-skip-gram-model-part-1-intuition-78614e4d6e0b (https://medium.com/towards-data-science/word2vec-skip-gram-model-part-1-intuition-78614e4d6e0b) … #DataScience #MachineLearning #NLP
@Rbloggers Using Partial Least Squares to conduct relative importance analysis in Displayr https://wp.me/pMm6L-Dwv (https://wp.me/pMm6L-Dwv) #rstats #DataScience
@gp_pulipaka Revolutionary Supercomputer Code Simulates Entire Cosmos: “25 Billion Virtual Galaxies.” #BigData #DataScience #HPC http://buff.ly/2suwKrI (http://buff.ly/2suwKrI)
Andy talks about http://datadriven.tv/mark-tabadillo/ (our recent interview with Mark Tabladillo), movie references, and http://www.franksworld.com (no brakes on the F-Train).
Data Science Daily Show Notes
https://twitter.com/MikeQuindazzi (@MikeQuindazzi) 51% of employers say https://twitter.com/hashtag/datascience?src=hash (#datascience) and https://twitter.com/hashtag/analytics?src=hash (#analytics) skills will be required for https://twitter.com/hashtag/marketing?src=hash (#marketing) and https://twitter.com/hashtag/sales?src=hash (#sales) managers by 2020. https://t.co/HMtzKmDSq4 (http://pwc.to/2s8Evkp)
https://twitter.com/RetweetedRajeev (@RetweetedRajeev) Researchers design AI system to assess pain levels in sheep. https://t.co/EVuJDnObR6 (http://ow.ly/a2Rn30ctB1g )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/AI?src=hash (#AI)
https://twitter.com/gp_pulipaka (@gp_pulipaka) AIG teams w/ https://twitter.com/hashtag/IBM?src=hash (#IBM) to use https://twitter.com/hashtag/Blockchain?src=hash (#Blockchain) for insurance policy. https://twitter.com/hashtag/BigData?src=hash (#BigData )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/InsurTech?src=hash (#InsurTech )https://t.co/frvHdSt7wP (http://buff.ly/2sqIdrF)
https://twitter.com/ImDataScientist (@ImDataScientist) RT https://twitter.com/schutzsmith (@schutzsmith): How to buy data for your business https://t.co/sit0UejKP6 (http://buff.ly/1MGDoJx )https://twitter.com/hashtag/bigdata?src=hash (#bigdata )https://twitter.com/hashtag/DataMining?src=hash (#DataMining )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://t.co/cO3Ke4pEA6 (http://buff.ly/1MGDmRN)
Last June I attended the Machine Learning and Data Science Summit on the Microsoft campus in Redmond. It was a conference that changed my life.
I was so inspired, in fact, that I declared http://www.franksworld.com/2016/06/ (June 2016) “http://www.franksworld.com/tag/machine-learning-month/ (Machine Learning Month)” over at http://www.franksworld.com/ (Frank’s World). I even http://www.franksworld.com/2016/06/01/kicking-off-machine-learning-month-at-franksworld-com/ (live-streamed the kick off) of http://www.franksworld.com/tag/machine-learning-month/ (Machine Learning Month).
Given that you’re reading this post on a podcast I started with Andy Leonard just under a year later, I’d say that the event has had a lasting impact beyond the first 30 days.
Last month, while en route to give a talk on Data Science in St Louis, I https://www.linkedin.com/pulse/data-science-seeing-light-frank-la-vigne (reflected on the journey that I’ve been on during the last year in this LinkedIn article).
If brevity is more your style, then I can sum up my experience last June in the following GIF.
Data Science Daily Show Notes
https://twitter.com/RetweetedRajeev (@RetweetedRajeev )3 Steps To Embedding Artificial Intelligence In Enterprise Applications https://t.co/ypLBOnutov (http://ow.ly/YC7G30czypU )https://twitter.com/hashtag/AI?src=hash (#AI )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DataScience?src=hash (#DataScience)
https://twitter.com/thisTenqyuLife (@thisTenqyuLife) “Aggregating the world of events” by https://twitter.com/thisTenqyuLife (@thisTenqyuLife )https://t.co/oTHJRedTCS (http://buff.ly/2oy0qTr )https://twitter.com/hashtag/datascience?src=hash (#datascience )https://twitter.com/hashtag/machinelearning?src=hash (#machinelearning)
https://twitter.com/odsc (@odsc) An overview of gradient descent optimization algorithms https://t.co/l4klgWOu93 (http://hubs.ly/H07MqyQ0 )https://twitter.com/hashtag/ODSC?src=hash (#ODSC )https://twitter.com/hashtag/DataScience?src=hash (#DataScience)
https://twitter.com/rbukralia (@rbukralia) Machine learning algorithms re-create city in 3D using only image data https://t.co/iqKX38aI5T (http://ow.ly/8out30ctB7X )https://twitter.com/hashtag/DataScience?src=hash (#DataScience )https://twitter.com/hashtag/MachineLearning?src=hash (#MachineLearning )https://twitter.com/hashtag/DeepLearning?src=hash (#DeepLearning)
DataScience Daily
Show Notes
@MikeQuindazzi 8 hours agoThe #bigdata market is about to get bigger! Global revenues forecast to triple by 2026. #AI #IoT #IIoT #DataScience @StatistaCharts
@KirkDBorne 2017 = the Year of Intelligence: http://floq.to/cuJGO #BigData #DataScience #AI #MachineLearning #MachineIntelligence by @vanrijmenam
@gcosma1 Nice example w/ code! Core ML and Vision: Machine Learning in iOS 11 Tutorial https://www.raywenderlich.com/164213/coreml-and-vision-machine-learning-in-ios-11-tutorial … @rwenderlich #DataScience #AI
@DeepLearn007 Four things you need to know about neural networks #AI #MachineLearning #deeplearning #NeuralNetworks #ML #DL #tech https://govinsider.asia/smart-gov/four-things-need-know-neural-networks-ai-deep-learning/
In this episode, Frank and Andy talk with Mark Tabladillo about data science teams, bots, personhood, dancing, education, math, digital and immigrants and natives, and movies (http://www.imdb.com/title/tt0343818 (I, Robot) and http://www.imdb.com/title/tt1355644/ (Passengers)).
Links https://academy.microsoft.com/en-us/professional-program/#dataScienceTab (Microsoft Academy Data Science Certification) https://www.amazon.com/Storytelling-Data-Visualization-Business-Professionals/dp/1119002257 (Storytelling with Data: A Data Visualization Guide for Business Professionals) https://www.amazon.com/Data-Science-Business-Data-Analytic-Thinking/dp/1449361323 (Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking) http://jenunderwood.com (Jen Underwood’s website) Sponsor: http://audibletrial.com/DataDriven (Audible.com) – get a free e-book! Sponsor: http://entdna.com?dd5 (Enterprise Data & Analytics)
Notable Quotes No brakes on the F train. ([2:10]) On data munging ([15:00]) On MS certifications ([20:00]) Team Data Science (a github project) ([23:45]) The importance of math, engineering, and physics education ([26:00]) Frank, on math: “Kaboom” ([29:30]) On dancing ([36:30]) Digital Immigrants vs. Digital Natives ([39:30]) Rise of the Data Science bots ([42:45]) I, Robot movie reference ([44:30]) Passengers movie reference ([44:55])
Andy Leonard reflects on the breadth and depth of the http://datadriven.tv/donald-farmer-talks-nakatomi-space-ambiguity-gatekeepers-vs-shopkeepers/ (recent conversation we had with Donald Farmer) in this DataPoint.
Frank and Andy have one thing to say: Thank You!
Starting a podcast is no easy task. So, we are appreciative and humbled that Data Driven has taken off: achieving 1000 downloads in ten days!
Thank you for your support!
PS: We also experimented by recording the show via Google Hangouts.
Andy is consulting in Washington this week – not far from the home of http://datadriven.tv/donald-farmer-talks-nakatomi-space-ambiguity-gatekeepers-vs-shopkeepers/ (our latest guest, Donald Farmer)!
In this episode, Frank and Andy talk with Donald Farmer about Data, profiting off ambiguity, fish farming, and Die Hard. Oh yeah, and tree houses.
Links https://academy.microsoft.com/en-us/professional-program/#dataScienceTab (Microsoft Academy Data Science Certification)
https://treehivestrategy.com/ (TreeHive Strategy)
https://www.youtube.com/watch?v=GFacOZiWapg (The Treehouse Masters TreeHive video)
Sponsor: http://entdna.com?dd4 (Enterprise Data & Analytics)
Sponsor: http://www.audibletrial.com/DataDriven (Audible.com Free 30 Day Trial)
Notable Quotes Frank talks Star Wars. ([1:40])
Donald is more interested in the six-pointers. ([6:40])
Donald speaks about archaeology, fish farming, and his famous fish-farming acquaintance ([8:48])
On ambiguity… ([14:00])
On probability… ([17:15])
Gatekeeper vs. Shopkeeper ([18:10])
IT vs Business ([24:40])
“Nakatomi Space” ([25:49])
Data finds a way. ([31:23])
On 9999 + Y2K ([35:15])
Fooled by Data ([41:25])
On the TreeHive ([44:20])
Using Blockchain to fight slavery ([51:00])
On pacifism ([53:04])
I’m here at the https://www.facebook.com/RelayForLifeAtLatrobe/ (Relay for Life in Latrobe, PA) this weekend and the thought occurred to me: Data Science is the newest weapon in the fight against cancer.
In fact, in http://datadriven.tv/lynn-langits-excellent-data-adventure/ (a recent episode of Data Driven), Lynn Langit talked about some of the recent work she’s done in this space.
In this episode of Data Driven, Frank and Andy talk to Lynn Langit. Lynn’s a triple threat: Microsoft MVP, Google Cloud Developer Expert, and AWS Community Hero. Over one million people have watched her Hadoop Fundamentals online course. We are honored to have Lynn on our show!
Links Mentioned: https://lynnlangit.com (Lynn’s Website) https://www.linkedin.com/learning/instructors/lynn-langit (Lynn’s LinkedIn Learning Page) https://aws.amazon.com/blogs/aws/genome-engineering-applications-early-adopters-of-the-cloud/ (Genome Engineering Applications: Early Adopters of the Cloud) https://xkcd.com/1807/ (XKCD WebComic: Listening) http://entdna.com?dd3 (Sponsor: Enterprise Data & Analytics)
Cool Conversation Blurbs The Coding Architect and Lifelong Learner ([7:30]) Bio-informatics research ([10:50]) Opportunistic Learning ([21:15]) Algorithms run our day-to-day ([27:45]) The law and DNA ([31:45]) Unintended consequences ([36:53]) Hacking Exposed ([41:00])
Lynn Langit Bio Lynn Langit was a developer evangelist for the Microsoft MSDN team for the past 4 years.. Prior to working at Microsoft, she founded and served as lead architect of a development firm that created BI solutions. She holds a number of Microsoft certifications, including MCITP, MCSD, MCDBA, and MCT. Lynn left Microsoft to do consulting and training in October 2011. Lately she’s authored and taught for DevelopMentor (SQL Server 2012 and Google App Engine). Lynn’s been doing production work with SQL Server, .NET, Java and more. Her data blog is at www.LynnLangit.com. She is also the co-founder of the non-profit ‘Teaching Kids Programming’ – more at www.TeachingKidsProgramming.org.
Links: https://academy.microsoft.com/en-us/professional-program/#dataScienceTab (Microsoft Academy Data Science Certification)
https://en.wikipedia.org/wiki/Five_forces_model (Michael Porter’s Five Forces Model)
https://www.ngdata.com/the-rise-of-the-citizen-data-scientist/ (The Rise of the Citizen Data Scientist)
http://www.imdb.com/title/tt0106697/ (Demolition Man)
http://www.imdb.com/title/tt0816692/?ref_=nv_sr_1 (Interstellar)
http://devjourney.com/blog/ (Kevin Hazzard’s blog)
Sponsor: http://entdna.com?dd2 (Enterprise Data & Analytics)
Cool Conversation Blurbs:
Nick discusses applying data science to enterprise operations. ([12:20])
Nick mentions CDS – the Citizen Data Scientist – and how it levels the playing field for “the guy in his garage.” ([21:23])
We also discuss futurism in the movies Demolition Man and Interstellar. ([31:10])
http://datadriven.tv/wp-content/uploads/2017/05/nick.jpg ()
In this first episode, Frank and Andy chat with Jen Underwood, who’s http://www.jenunderwood.com/ (website) is incredibly awesome.
Links: http://www.jenunderwood.com (Jen Underwood’s blog) http://www.jenunderwood.com/about (About Jen Underwood) http://www.jenunderwood.com (Impact Analytix)
Sponsored by http://entdna.com?dd1 (Enterprise Data & Analytics)
Cool Conversation Blurbs: Unicorns Among Us ([1:42]) – Note: Data Driven is an Audible Affiliate. You can pick up a free audio book and start a free 30-day trial at http://www.audibletrial.com/DataDriven (Audible.com). Jen discusses where she thinks data science is going. ([9:15]) The relationship between Data Science, Artificial Intelligence, Machine Learning ([18:30]) The Power of One ([28:05]) On blog post backlash ([35:00])
http://datadriven.tv/wp-content/uploads/2017/05/jen.jpg ()
About Jen Underwood Jen Underwood, founder of http://www.impactanalytix.com/ (Impact Analytix, LLC), is a recognized analytics industry expert. She has a unique blend of product management, design and over 20 years of “hands-on” development of data warehouses, reporting, visualization and advanced analytics solutions. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data. Jen is honored to be an IBM Analytics Insider, SAS contributor, former Tableau Zen Master, and active analytics community member.
In the past, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has launched new analytics products and turned around failed projects. Today she provides industry thought leadership, advisory, strategy, and market research. She also writes for InformationWeek, O’Reilly Media and other tech industry publications.
Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego.
Technology is ever changing, but there’s something unique going on that will impact everyone on this planet: the rise of data analytics. The rise of cheap cloud based data storage and analytics is changing the game and making data science more accessible. Data is being collected at an ever increasing pace. The companies and organizations that will prevail in the age of Big Data are going to be those who can process, analyze, and find insights before their competition does.
The focus of this podcast will be the names and greatest minds in data and data science, discovering how the world is becoming data driven.
If Data is the new oil, then data analytics are the new refineries, and apps are the new gas stations. If that’s the case, this is Car Talk!
Who are We? With me on this journey is Andy Leonard,