IoT Chat Podcast: Recent Episodes

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Between the coming Industry 5.0 (yup, we’re already there), machine vision and IoT, there are endless conversations with industry experts. On the IoT Chat, we bring the best of the best into the studio to talk with our Editor-in-Chief about what matters most to engineers and developers. Come for the latest design ideas in AI, security, DevOps and more. Join the conversation with #iotchat.

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Smart retail has been a buzzword for years, but we’re now at a critical inflection point. The industry grapples with rapid innovation, shifting customer expectations and mounting operational pressures. Retailers don’t look just for incremental upgrades—they need a complete digital transformation that integrates automation, AI-driven insights, and real-time data to stay competitive.

In this podcast episode, we explore the future of smart retail and how emerging technologies drive the industry forward. From AI-powered customer behavior analytics and personalized digital signage to voice AI for seamless wayfinding and transactions, we examine how innovation reshapes both the store and the customer experience.

Join us as we explore these ideas with: Silvia Kuo, Director of Business Development and Partnerships, ASUS Christina Cardoza, Editorial Director, insight.tech

Silvia answers our questions about:

  • Challenges smart retail still has to overcome
  • Enhancing employee experience with AI
  • Using technology to make smart retail a reality
  • Integrating technology into existing infrastructure
  • Real-world use cases and lessons learned
  • Leveraging industry expertise
  • Smart retail’s ongoing evolution

Related Content

To learn more about the evolution of retail, read POC Shows What’s In Store for Retail Analytics. For the latest innovations from ASUS, follow them on Twitter/X at @asus and LinkedIn.

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What if the future of healthcare weren’t about replacing clinicians but empowering them to do more, faster, and better? From addressing clinician shortages to processing massive volumes of medical data, AI is rapidly moving beyond diagnostics and imaging into areas like workflow optimization, multimodal input, and real-time decision-making.

In this podcast, we dive into how AI scales at the device level, enhancing patient outcomes, and uncovering actionable insights from one of the largest data-generating sectors in the world. Discover how edge computing enables faster, more secure data analysis right where care is delivered, and learn how these advancements shape a more efficient and innovative future for healthcare.

Join us as we explore these ideas with:

Ian Fogg, Research Director of Network Innovation, CCS Insight Alex Flores, Head of Global Health Solutions Vertical, Intel Christina Cardoza, Editorial Director, insight.tech

Ian and Alex answer our questions about:

  • The latest CCS Insight healthcare AI report findings
  • Healthcare industry trends and observations
  • Adopting technologies safely and securely
  • How AI at the edge addresses healthcare data
  • Strategies to bring AI into the healthcare industry
  • The value of working with Intel
  • Examples and case studies of healthcare transformations
  • How AI usage will evolve in healthcare

Related Content

To learn more about healthcare at the edge, read about the latest innovations in patient care, monitoring, and wellness. For the latest innovations from CCS Insight, follow them on X/Twitter at @ccsinsight and LinkedIn. For the latest innovations from Intel, follow them on X/Twitter at @intel and LinkedIn.

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Are long queues and slow service costing your foodservice business time, money, and customer loyalty? The foodservice industry is under constant pressure to serve fast and efficiently while delivering a great experience—but traditional solutions often fall short.

In this episode, we uncover how AI-powered self-service technology revolutionizes foodservice operations. Learn how cutting-edge innovations can slash checkout times, enhance customer satisfaction, and empower operators to streamline workflows like never before.

Whether you run a busy quick-service restaurant, manage a bustling cafeteria, or strategize for the future of dining, this episode will show you how AI reshapes the industry to meet the demands of modern consumers—and how your business can stay ahead of the curve.

Join us as we explore these ideas with: Sergii Khomenko, Founder, Autocanteen Christina Cardoza, Editorial Director, insight.tech

Sergii answers our questions about

  • Foodservice industry challenges
  • Customer checkout expectations
  • Bringing automation to foodservice
  • Leveraging technology partners
  • Autocanteen in the real world
  • The changing foodservice industry

Related Content

To learn more about self-checkout, read AI Self-Checkout Redefines Food Service Efficiency. For the latest innovations from Autocanteen, follow them on Twitter at @autocanteen and on LinkedIn.

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Tired of gridlock and traffic jams? Smart cities are the future, but their roads often feel stuck in the past. Traditional traffic management solutions are no match for the complexities of modern urban life.

In this episode, we explore the future of transportation with AI and visual data taking the front seat. We discuss the importance of real-time analytics combined with historical data, and gain some insights into the critical role of visual capabilities in traffic management, how AI-driven insights aid city planners, and the ways these technologies promote sustainability.

Join us as we explore these ideas with: Joseph Harvey, ITS Market Sector Leader, ISS Christina Cardoza, Editorial Director, insight.tech

Podcast Topics

Joe answers our questions about:

  • State of traffic management
  • AI’s power in city planning
  • Empowering traffic flow
  • Opportunities for improvement
  • Traffic technology implementations
  • Taking security into consideration
  • Partnerships making it possible

Related Content

To learn more about intelligent transportation systems, read Video Intelligence Illuminates Path to Pedestrian Safety. For the latest innovations from ISS, follow them on X at @isscctv and on LinkedIn.

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The manufacturing industry is undergoing a digital revolution, driven by adoption of Industry 4.0 technologies and the Industrial Internet of Things (IIoT). While this transformation promises increased efficiency and productivity, it also raises concerns about energy consumption.

In this podcast episode, we delve into the critical role of energy efficiency in the factory. We explore how integrating green principles into automation solutions can not only reduce environmental impact but also lower operational costs and enhance competitiveness.

Join us as we explore these ideas with: Anna Kiseleva, Product Manager, NexAIoT Christina Cardoza, Editorial Director, insight.tech

Anna answers our questions about:

  • The meaning of a green manufacturer
  • Tools and technologies necessary for change
  • Taking the Industry 4.0 sustainability path
  • NexAIoT’s role in green manufacturing
  • Partnerships powering sustainability efforts
  • How green manufacturing will keep evolving

Related Content

To learn more about green manufacturing, read Smart Factory Tech Proves Data Is Power. For the latest innovations from NexAIoT, follow them on LinkedIn.

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Our energy landscape is undergoing rapid transformation. The power grid is no longer just infrastructure; it's a strategic enabler for sustainability across industries, allowing us to electrify processes traditionally reliant on fossil fuels. But this transition requires a modern, collaborative approach.

In this podcast, industry thought leaders emphasize the urgency for grid modernization and the importance of partnerships among operators, manufacturers, and service providers. They discuss the need for standardized technologies and open digital architectures to optimize investments for a smarter, future-ready grid.

Join us as we dive into the challenges and solutions, and learn how to optimize grid performance while balancing energy demands.

Join us as we explore these ideas with:

Marc Delandre, Director of Advanced Network Technologies, Enedis Ian Fogg, Research Director of Network Innovation, CCS Insight Valerie Layan, Head of Power & Grid Europe, Schneider Electric Paul O'Shaughnessy, Sector Head of Energy & Utilities, Advantech Philippe Vié, Global Group Lead for Energy, Utilities, & Chemicals, Capgemini

Christina Cardoza, Editorial Director, insight.tech

Paul, Philippe, Valerie, Marc, and Ian answer our questions about:

  • Current state of grid modernization efforts
  • What drives the grid of the future
  • Demand pressures and technology limitations
  • Renewable energy challenges and considerations
  • Digital technologies shaping the smart grid
  • Bringing edge AI into the energy space
  • The role of the substation in grid modernization
  • Future-proofing ongoing smart-grid efforts
  • Working with partners like Intel and the E4S Alliance
  • Customer examples and use cases

Related Content

To learn more about grid modernization, read The Grid of the Future. For the latest innovations from:

  • Advantech, follow them on X at @Advantech_USA and LinkedIn
  • Capgemini, follow them on LinkedIn
  • Schneider Electric, follow them on X at @SchneiderElec and LinkedIn
  • Enedis, follow them on X at @enedis and LinkedIn
  • CCS Insight, follow them on X at @ccsinsight and LinkedIn

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Are you ready to take your AI career to the next level? We dive deep into the world of strategic partnerships, uncovering everything from finding the perfect match to harnessing the power of developer communities. Get ready for insider tips that will help you build the future of AI.

We explore the game-changing potential of AI partnerships—how can businesses and developers come together to create groundbreaking solutions? What’s the secret sauce to a successful collaboration? We also dive into the crucial role that developer communities and events play in driving innovation and building connections.

Join us as we explore these ideas with:

Jason Corso, Cofounder and Chief Science Officer, Voxel51 Paula Ramos, AI Evangelist, Intel Christina Cardoza, Editorial Director, insight.tech

Jason and Paula answer our questions about

  • The evolving artificial intelligence landscape
  • How developers can keep up with the changes
  • Gaining developer support from large companies
  • Being part of developer communities and events
  • Staying on top of upcoming AI trends
  • Fostering community engagement

Related Content

For the latest innovations from Voxel, follow them on Twitter at @voxel51, LinkedIn, and GitHub. For the latest innovations from Intel, follow them on Twitter at @intel, LinkedIn, and GitHub.

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In today's rapidly evolving technology landscape, businesses increasingly turn to network edge solutions to meet the demands of real-time data processing, enhanced security, and improved user experiences. But deploying these solutions comes with its own set of challenges, including latency issues, bandwidth constraints, and need for robust infrastructure.

This podcast episode explores the world of network edge computing, and the unique challenges businesses face when deploying these advanced solutions. We discuss the critical features of network edge devices and how AI can help drive efficiency. Additionally, we examine the specific challenges and demands industries encounter and how they can overcome them.

Join us as we explore these ideas with: CK Chou, Product Manager, CASwell Christina Cardoza, Editorial Director, insight.tech

CK answers our questions about

  • The move to the network edge
  • Network edge devices built for success
  • Moving to AI at the network edge
  • Addressing network edge challenges
  • Overcoming the increased demand
  • Implementing network edge devices
  • Partnering on performance and power

Related Content

To learn more about the network edge, read AI Everywhere—From the Network Edge to the Cloud. For the latest innovations from CASwell, follow them on LinkedIn.

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Downtime is a costly killer. But traditional predictive maintenance methods often fall short. Discover how multisensory AI is used to uplevel equipment maintenance.

Multisensory AI uses sight, sound, and smell to accurately predict potential equipment failures, even with limited training data. This innovative approach can help businesses reduce downtime, improve efficiency, and save costs.

In this podcast, we explore how to successfully implement multisensory AI into your existing infrastructure and unlock its full potential.

Join us as we explore these ideas with: Rustom Kanga, Co-Founder and CEO, iOmniscient Christina Cardoza, Editorial Director, insight.tech

Rustom answers our questions about

  • Limitations to traditional predictive maintenance
  • A multisensory and intuitive AI approach
  • Training AI to emulate human intelligence
  • Providing accurate and valuable results
  • Investing in a multisensory AI approach
  • How businesses leverage intuitive AI
  • Partnerships and technologies behind success
  • The future of multisensory and intuitive AI

Related Content

To learn more about multisensory AI, read Multisensory AI Revolutionizes Real-Time Analytics. For the latest innovations from iOmniscient, follow them on Twitter at @iOmniscient1 and LinkedIn.

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Video imaging has become a cornerstone of business operations, but its limitations are clear. Challenges like low light, obstructions, and tracking multiple targets hinder its effectiveness. Enter 3D LiDAR: a solution known for its unparalleled situational awareness and accuracy.

While 3D LiDAR isn’t a new technology, it’s capabilities are becoming more affordable and accessible to businesses. In this episode, we explore how to unlock the full potential of 3D LiDAR in your business. We discuss real-world applications, overcome implementation hurdles, and discover how this innovative technology can drive your business forward.

Join us as we explore these ideas with: Gerald Becker, VP Market Development and Alliances, Quanergy Christina Cardoza, Editorial Director, insight.tech

Gerald answers our questions about:

  • Bringing 3D LiDAR beyond autonomous vehicles
  • Making 3D LiDAR more accessible to businesses
  • Implementing 3D solutions into existing infrastructure
  • Gaining actionable insights and decision-making
  • Real-world 3D LiDAR application results
  • The partnerships and technology behind the solutions
  • Emerging trends and technologies to look out for

Related Content

For the latest innovations from Quanergy, follow them on Twitter at @quanergy and LinkedIn.

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The power of edge AI transforms the embedded systems industry with new levels of performance, energy efficiency, memory optimization, and accuracy. But how can businesses leverage these capabilities to build applications that deliver real value?

In this episode, we explore where and how the latest technology is deployed and how companies should approach their next-generation solutions. We dive into real-world edge AI applications, highlight their impact on various industries, and showcase their potential to solve complex challenges.

Join us as we explore these ideas with: Alex Wood, Global Marketing Director, Avnet Christina Cardoza, Editorial Director, insight.tech Brandon Lewis, insight.tech contributor

Alex answers our questions about:

  • Current state of the embedded systems industry
  • Driving factors behind edge AI applications
  • Real-world use cases from customers
  • When to leverage the latest technologies
  • Meeting the different technology demands
  • Processor advancements and benefits

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To learn more about the latest edge AI innovations, see what Intel partners across the global do in their industries. For the latest innovations from Tria Technologies, follow them on LinkedIn.

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Buildings account for a staggering 40% of global carbon emissions. With mounting regulatory pressures, escalating energy costs, and growing corporate sustainability goals, the demand for greener buildings has never been more urgent.

AI is emerging as a game changer in this space with its ability to deliver precise insights into a building’s performance—enabling businesses to optimize energy consumption, enhance occupant well-being, and reduce their environmental impact.

In this podcast, we explore practical applications of AI, revealing exactly how businesses and building owners can accelerate their sustainability journey and achieve tangible green building objectives.

Join us as we explore these ideas with: Lauren Long, Vice President of Brand and Marketing, Nantum AI Maciej Łabuszewski, Onboarding Specialist, Blue Bolt Christina Cardoza, Editorial Director, insight.tech

Lauren and Maciej answer our questions about:

  • 3:25 – The role of buildings in the fight against climate change
  • 5:31 – Sustainable building goals for building owners and managers
  • 9:20 – Recent smart building technology innovations
  • 13:01 – Leveraging AI to create insights and track performance
  • 16:15 – Inside a sustainable smart building
  • 19:36 – Overcoming challenges of implementation
  • 21:37 – Real-world examples and smart building use cases
  • 27:26 – Valuable technology partnerships

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To learn more about sustainable smart buildings, read Mobile Access Control Promotes Sustainable Buildings and From Smart Buildings to Intelligent Ones. For the latest innovations from Nantum AI, follow them on X/Twitter at @nantumai and on LinkedIn. For the latest innovations from Blue Bolt by NTT, follow them on LinkedIn.

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Today’s cities face ongoing issues related to pollution, waste management, and energy consumption. But as smart technology and solutions get more integrated into urban environments, efforts are being made to promote sustainability. Axiomtek, for example, uses artificial intelligence and edge computing in recycle and waste bins to enhance efficiency and accuracy.

In this podcast, we explore sustainable smart city efforts, examine real-world use cases, and discuss the necessary infrastructure to achieve sustainability goals.

Join us as we explore these ideas with: Jody Cheng, Product Solution Manager, Axiomtek Manny Hicaro, Application Engineer Supervisor, Axiomtek Christina Cardoza, Editorial Director, insight.tech Talk

Podcast Topics

Jody and Manny answer our questions about:

  • Driving factors of sustainable smart cities
  • Latest innovations for sustainable smart cities
  • How edge AI contributes to sustainable solutions
  • Necessary smart city infrastructure
  • Examples of AI-powered sustainability efforts
  • The value of Intel and its technologies
  • Future edge AI smart city implementations

Related Content

To learn more about the latest innovations for smart buildings and spaces, check out our smart cities page. For the latest innovations from Axiomtek, follow them on Twitter/X at @Axiomtek and on LinkedIn.

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The retail landscape is riddled with challenges – staffing shortages, supply chain disruptions, and inflation. But there's a solution with a powerful ROI: AI in retail.

Imagine self-checkout with flawless image recognition, streamlined checkout, and reduced labor costs. AI can also free employees up so they can provide more meaningful customer interactions and boost customer satisfaction.

This podcast dives deep into how AI transforms retail operations and enhances the in-store experience. Discover how AI in retail improves efficiency, cuts costs, and boosts customer loyalty.

Join us as we explore these ideas with: Matt Redwood, Vice President of Retail Technology, Diebold Nixdorf Christina Cardoza, Editorial Director, insight.tech

Podcast Topics

Matt answers our questions about:

  • Different challenges retailers face today
  • Real AI benefits to in-store experiences
  • Where retailers can start implementing AI
  • The human element in AI transformations
  • Real-world customer use cases
  • Technology partnerships making AI in retail possible

Related Content

To learn more about AI in retail, read New Retail POS Solutions Transform the Checkout Journey. For the latest innovations from Diebold Nixdorf, follow them on Twitter/X at @DieboldNixdorf and on LinkedIn.

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Pulling off an event like the Olympic and Paralympic Games involves intricate behind-the-scenes work. From connecting people through private 5G platforms to creating virtual experiences and using AI and digital twins for planning and execution, expertise and reliable partnerships are crucial.

This podcast explores how advanced technology is leveraged to create interactive and immersive event experiences, the essential partnerships involved, and a forward-looking perspective on future innovations in event management.

Join us as we explore these ideas with: Sarah Vickers, Head of the Olympic and Paralympic Program, Intel Christina Cardoza, Editorial Director, insight.tech

Sarah answers our questions about

  • Intel’s involvement in the Olympic and Paralympic Games
  • Event preparation before, during, and after the event
  • The process of launching a large-scale event experience
  • What happens with all the data after the event
  • New technology innovations for event experiences
  • The value of Intel’s ecosystem and partnerships
  • Applying Intel technology beyond the Olympics

Related Content

For the latest innovations from Intel, follow them on Twitter at @Intel and on LinkedIn.

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Addressing supply chain inefficiencies continues to be a problem for manufacturers. Legacy systems and information silos cause inventory shortages and production delays.

This podcast explores how digitizing the manufacturing supply chain, from raw materials to delivery, can revolutionize your operations. We discuss how AI, real-time data analysis, and other technologies can optimize performance, unlock valuable insights, and shape the future of supply chain management.

Join us as we explore these ideas with: Stefano Linari, CEO, iProd Kemal Levi, Founder and CEO, Relimetrics Christina Cardoza, Editorial Director, insight.tech

Our guests this episode are Stefano Linari, CEO of iProd, a manufacturing optimization platform provider; and Kemal Levi, Founder and CEO of Relimetrics, machine vision solution provider.

Stefano and Kemal answer our questions about

  • 2:41 – Manufacturing supply chain pain points
  • 4:47 – Supply chain areas ripe for digitization
  • 7:49 – Technologies optimizing supply chain efficiency
  • 11:14 – AI’s role in modernizing the supply chain
  • 12:59 – Real-world manufacturing supply chain efforts
  • 23:00 – The value of leveraging technology partnerships
  • 27:57 – The future of the supply chain from end to end
  • 30:18 – How AI is going to continue to evolve this space

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To learn more about the manufacturing supply chain, read AI Boosts Supply Chain Efficiency and Profits and Unified Data Infrastructure = Smart Factory Solutions. For the latest innovations from iProd, follow them on LinkedIn. For the latest from Relimetrics, follow them on Twitter/X at @relimetrics and on LinkedIn.

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Join us for our very first episode of “insight.tech Talk” where we talk about how voice AI transforms the QSR experience—boosting efficiency and creating a smoother experience both for customers and employees.

Just as our new name reflects the ever-changing tech landscape, this episode explores how voice assistants enable QSRs to take orders faster and more accurately, reducing staff workload and handling complex requests. The result: shorter lines, happier customers, and more consistent service.

Listen in as we explore benefits, address potential challenges, and peek into how voice AI impacts other areas of the industry.

Join us as we explore these ideas with: Salwa Al-Tahan, Research and Marketing Executive, Sodaclick Stevan Dragas, EMEA Digital Signage Segment Manager, Intel Christina Cardoza, Editorial Director, insight.tech

Salwa and Stevan answer our questions about

  • How voice AI enhances QSR experiences
  • Voice AI infrastructure and investments
  • Technological advancements making voice AI possible
  • Real-world examples of voice AI in QSRs
  • Voice AI opportunities beyond QSRs

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To learn more about conversational voice AI, read Talking Up Self-Serve Patient Check-In Kiosks in Healthcare. For the latest innovations from Sodaclick, follow them on Twitter at @sodaclick and on LinkedIn. For the latest innovations from Intel, follow them on Twitter at @sodaclick and on LinkedIn.

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Tired of chasing Industry 4.0 goals? AI automation unlocks optimization, productivity, and cost savings. Explore its revolutionary impact and discover how manufacturers can overcome challenges and thrive in the digital age in this podcast episode.

We dive into how AI-powered automation can boost your competitiveness, spark innovation, and drive sustainable growth.

Join us as we explore these ideas with: Camilo Fadul, DeltaV Solution Marketing Director, Emerson Curtis Thompson, Product Marketing Manager, Emerson James Green, Business Development Manager, Intel Christina Cardoza, Editorial Director, insight.tech Camilo, Curtis, and James answer our questions about:

  • AI’s role in industrial automation
  • Benefits of AI-powered solutions
  • Challenges implementing AI
  • Overcoming the risks
  • DeltaV’s AI capabilities
  • Impact of AI manufacturing
  • Leveraging industry expertise
  • AI infrastructure and investments

Related Content For the latest innovations from Emerson, follow them on Twitter at @Emerson_News and on LinkedIn.

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Gone are the days when artificial intelligence and computer vision were exclusive to tech giants. These powerful tools hold immense potential for businesses of all sizes. What remains limited is the skill sets required to bring some of these AI solutions to market.

In this webinar, we uncover the significance of democratizing artificial intelligence and computer vision, as well as explore how partnering with the right allies can propel AI initiatives forward.

Join us as we explore these ideas with: Mario Lopez, Chief Innovation Officer, Bravent Michael Nelson, Field Solutions Architect, TD SYNNEX

Mario and Michael answer our questions about

  • The transformative power of AI and computer vision
  • Challenges and limitations to building AI solutions
  • Bringing partners and technologies together
  • What to consider and evaluate in a partner
  • Real-world examples of democratizing AI
  • Making AI development more accessible
  • A look at future AI innovations

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To learn more about democratizing AI, read Bravent Creates Agile, Scalable Industrial Vision Solutions with the Intel® Geti™ Platform and OpenVINO™ Toolkit and The Power of IoT Partnership: Work Better, Together. For the latest innovations from Bravent, follow them on LinkedIn. For the latest innovations from (company), follow them on Twitter at @TDSYNNEX and on LinkedIn.

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Mobile World Congress 2024 unveiled game-changing innovations that will redefine how we connect. Think private mobile networks and AI that learns to optimize performance!

In this podcast, we unpack these exciting trends and explore the future of intelligent networks. Join us to unlock the potential of tomorrow's technology and embrace a world of possibilities.

Join us as we explore these ideas with: Ian Fogg, Director of Networks, CCS Insight Wei Yeang Toh, GM of Ecosystem Development Organization, Intel Christina Cardoza, Editorial Director, insight.tech

Podcast Topics

Ian and Wei answer our questions about:

  • Key network trends from Mobile World Congress
  • Advances and benefits AI brings to the network space
  • How these key trends and themes impact the industry
  • Importance of the hybrid model for intelligent networks
  • What’s on the horizon for 6G networks
  • Ecosystem partnerships for network modernization

Related Content

To learn more about key network trends, read Private Mobile Networks: Options for Scaling the Market and MWC 2024: Private 5G Networks Take Center Stage. For the latest innovations from CCS Insight, follow them on X/Twitter at @ccsinsight and on LinkedIn. For the latest innovations from Intel, follow them on X/Twitter at @Intel and on LinkedIn.

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Struggling to keep your hybrid workforce engaged and productive? Enter high-impact spaces, driven by the transformative power of AI and changing the way we work and interact in both physical and digital spaces.

In this episode we dive into the existing possibilities of high-impact spaces, exploring their potential alongside the technology, tools, and partnerships making them a reality.

Join us as we explore these ideas with: Christopher Jaynes, Senior VP of Software Technologies, Q-SYS Christina Cardoza, Editorial Director, insight.tech

Christopher answers our questions about

  • High-impact spaces versus traditional spaces
  • How AI transforms hybrid environments
  • Various business opportunities
  • Considering the human element
  • Necessary technology and infrastructure
  • Leveraging different partnerships
  • Future evolutions of high-impact spaces

Related Content

To learn more about high-impact spaces, read High-Impact Spaces Say “Hello!” to the Hybrid Workforce. For the latest innovations from Q-SYS, follow them on X/Twitter at @QSYS_AVC and LinkedIn at QSC.

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Across all industries, businesses actively adopt computer vision to improve operations, elevate user experiences, and optimize overall efficiency. Image segmentation stands out as a key approach, enabling various applications such as recognition, localization, semantic understanding, augmented reality, and medical imaging. To make it easier to develop these types of applications, Meta AI released the Segment Anything Model (SAM)—an algorithm for identifying and segmenting any objects in an image without prior training.

In this podcast, we look at the evolution of image segmentation, what the launch of Meta AI’s Segment Anything model means to the computer vision community, and how developers can leverage OpenVINO™ to optimize for performance.

Join us as we explore these ideas with: Paula Ramos, AI Evangelist, Intel Christina Cardoza, Editorial Director, insight.tech

Paula answers our questions about

  • The importance of image segmentation to computer vision
  • Traditional challenges building image segmentation solutions
  • What value the Segment Anything Model (SAM) brings
  • Business opportunities for image segmentation and SAMs
  • The power of OpenVINO to image segmentation
  • The future of OpenVINO and Segment Anything

Related Content

To learn more about image segmentation, read Segment Anything Model — Versatile by Itself and Faster by OpenVINO. For the latest innovations from Intel, follow them on X at @IntelAI and on LinkedIn.

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Imagine being able to predict machine failures, detect defects, prevent costly downtime, and ensure working safety in real time. That’s exactly what AI-powered manufacturing aims to do.

It’s no longer just about efficiency. AI revolutionizes the factory floor, boosting product quality, reducing waste, and personalizing training for higher productivity. Is your factory ready to take on these changes?

Join us as we explore the opportunities and challenges of embracing and integrating AI in manufacturing. We address concerns, share success stories, and equip you with the knowledge to build a smarter, safer factory.

Join us as we explore these ideas with: Aji Anirudhan, Chief Sales & Marketing Officer, AllGoVision Jonathan Weiss, Chief Revenue Office, Eigen Innovations

Aji and Jon answer our questions about:

  • Industry 4.0 challenges and pressures
  • Safety risks for factory workers
  • Creating a data-driven factory
  • Ongoing factory floor transformations
  • Data-driven factory strategies
  • Industrial AI video analytic use cases
  • Industrial machine vision examples
  • Manufacturing opportunities up ahead

Related Content

To learn more about AI-powered manufacturing, read Machine Vision Solutions: Detect and Prevent Defects. For the latest innovations from AllGoVision and Eigen Innovations, follow them on Twitter/X at @AllGoVision and @EigenInnovation, and on LinkedIn at AllGoVision and Eigen Innovations Inc.

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Despite what many may think, generative AI extends beyond just generating text and voice responses. Among the growing fields is audio-based generative AI, which harnesses AI models to create and/or compose fresh and original audio content. This opens a world of new possibilities for developers and business solutions.

In this podcast, we discuss the opportunities presented by audio-based generative AI and provide insights into how developers can start building these types of applications. Additionally, we explore the various tools and technologies making audio-based generative AI applications possible.

Join us as we explore these ideas with: Ria Cheruvu, Generative AI Evangelist, Intel Christina Cardoza, Editorial Director, insight.tech

Ria answers our questions about

  • Generative AI landscape overview
  • Generative AI for audio business opportunities
  • Developing generative AI audio applications
  • Available generative AI technology stack
  • Developer resources for generative AI development
  • What else we can expect from this space

Related Content

To learn more about generative AI, read Generative AI Solutions: From Hype to Reality. For the latest innovations from Intel, follow them on X at @IntelAI and on LinkedIn.

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Did you know that edge AI can provide better outcomes for surgical operations? A number of factors can influence what happens on the operating table, but with edge AI physicians can get real-time data and information about a procedure at their fingertips, minimizing patient risks.

In this podcast, we explore the ways edge AI can assist physicians—both inside and outside the operating room—examining the benefits as well as the challenges, and what to expect from AI in the OR in the future.

Join us as we explore these ideas with: Dennis Kogan, Founder and CEO, Caresyntax Christina Cardoza, Editorial Director, insight.tech

Dennis answers our questions about

  • Physicians’ and patients’ expectations
  • Becoming comfortable with new OR technologies
  • Different ways AI assists in surgical procedures
  • The importance of AI combined with human expertise and data
  • Implementing the latest and greatest technologies and innovations
  • AI-assisted surgical operations in action
  • The different types of partnerships that make AI in the OR possible

Related Content

To learn more about AI-assisted surgical technology, follow Caresyntax at @caresyntax and on LinkedIn.

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As demand for the Internet of Things and intelligent solutions continues to grow, the 5G landscape must evolve with it. According to CCS Insight, over the next couple of years, artificial intelligence is expected to gain more traction in this space—enhancing availability, managing traffic, and providing self-healing capabilities to the network.

Moreover, the rise of private networks and hybrid solutions, facilitated through network slicing, is anticipated to become the predominant approach for ensuring quality service.

In this podcast, we look at how 5G and IoT networks have to adapt to the rapid pace of innovation, what’s still to come in the 5G space, and when it will be time to start thinking about 6G.

Join us as we explore these ideas with: Ian Fogg, Director of Networks, CCS Insight Christina Cardoza, Editorial Director, insight.tech

Ian answers our questions about

  • The changing 5G and IoT network landscape
  • 2024 5G and IoT network predictions
  • The growing demand for IoT and intelligent solutions
  • AI’s role in the future of 5G and IoT networks
  • Sustainability efforts with intelligent networks
  • A look toward the future of 6G

Related Content

To learn more about 5G and IoT network predictions, read the report Edge Computing and IoT Predictions for 2024 and Beyond and listen to Top IoT and Edge AI Predictions for 2024: With CCS Insight. For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn.

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AI and edge computing take IoT to the next level, with new and exciting use cases expected over the next year and beyond. But as the rapid pace of advancements and investments unfolds, it raises the question: Are we accelerating too fast?

In this podcast, we dive into the forefront of technological evolution, unveiling CCS Insight’s top IoT and Edge AI predictions for 2024. We also navigate through responsible development of solutions and explore the impact AI is set to make in the coming years.

Join us as we explore these ideas with: Martin Garner, Head of IoT Research, CCS Insight Bola Rotibi, Chief of Enterprise Research, CCS Insight Christina Cardoza, Editorial Director, insight.tech

Martin and Bola answer our questions about:

  • How the rise in edge AI impacts IoT
  • If the cloud versus edge debate will continue
  • What the future of AI development looks like
  • The reality of generative AI
  • Business considerations for AI investments
  • Upcoming AI regulations and implications
  • Developing AI with privacy in mind
  • Where 5G fits into AI predictions

Related Content

To learn more about edge AI trend predictions, read the report Edge Computing and IoT Predictions for 2024 and Beyond. For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn.

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By now, almost everyone has heard of generative AI and its potential to revolutionize many industries. But does the hype align with the reality? As businesses search for ways to harness its power and gain a significant competitive edge, there are many questions: Which current generative AI opportunities can businesses start to take advantage of today? And what limitations do we still need to overcome?

In this podcast, we dive into key benefits as well as challenges of building generative AI business solutions. We also talk about how to successfully build and deploy solutions that can help businesses take their efforts to the next level.

Join us as we explore these ideas with: Teresa Tung, Cloud First Chief Technologists, Accenture Ramtin Davanlou, AI & Analytics Principle Director, Accenture Waleed Kadous, Chief Scientist, Anyscale Christina Cardoza, Editorial Director, insight.tech

Teresa, Ramtin, and Waleed answer our questions about:

  • The rise of and interest in generative AI
  • Considerations for deploying generative AI solutions
  • Taking generative AI out of the experimentation phase
  • Biggest opportunities and use cases for generative AI
  • The importance of partnerships and collaboration
  • What’s next for generative AI
  • Final thoughts and key takeaways

Related Content

For the latest innovations from Accenture and Anyscale, follow them on:

  • Twitter: @Accenture_US and @anyscalecompute
  • LinkedIn: Accenture and Anyscale

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Explore the groundbreaking AI innovations unveiled at Intel® Innovation 2023 to learn about the role of AI in solving real-world problems and becoming more accessible to developers.

Paula answers our questions about:

  • (1:54) Advancing AI and its role in real-world problem-solving
  • (4:05) Intel’s role in making AI easier and more accessible to developers
  • (6:53) The biggest announcements from Intel® Innovation 2023
  • (10:46) OpenVINO™ and its impact on the Intel partner ecosystem
  • (14:46) How developers can take advantage of the new SDK for Intel® Geti™
  • (18:22) Empowering women in AI
  • (22:30) The future of AI development and tips for new developers

Related Content

To learn more about AI trends, read Evangelizing AI: The Key to Accelerating Developers’ Success and listen to Personalized AI Shopping Experiences: With FIT:MATCH. For the latest innovations from Intel, follow it on Twitter @intel and on LinkedIn at Intel Corporation.

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Shopping for a new wardrobe is an experience that should be enjoyable and stress-free. But with the range of choices available thanks to modern fashion, it can easily turn into a tedious chore of navigating the maze of sizing discrepancies among different stores and brands. Imagine if you could just step into the fitting room and have a selection of perfectly fitting garments already waiting for you.

Thanks to the advent of AI and 3D technology, this vision is becoming a reality. The future? A personalized AI shopping experience.

This podcast explores innovative ways that AI transforms the fitting room, both online and in-store, by providing shoppers with personalized recommendations tailored to their unique body measurements and preferences. This custom approach not only enhances customer satisfaction but also drives sales and conversion rates.

Join us as we delve into the future of retail fitting rooms, where AI serves as the catalyst for an immersive, personalized, and seamless shopping experience.

Join us as we explore these ideas with: Hillary Littleton, Head of Marketing, FIT:MATCH Christina Cardoza, Editorial Director, insight.tech

Hillary answers our questions about

  • Current AI trends in the retail space (2:47)
  • Retail challenges for providing quality shopping experiences (4:31)
  • AI helping advance retail technology (6:31)
  • Benefits of improving the fitting-room experience (8:48)
  • Implementing new retail technology online and in-store (11:13)
  • Value of partnerships when creating innovative retail solutions (14:45)
  • Future of retail technology (15:31)
  • How AI can optimize the shopping experience (17:06)

Related Content

To learn more about personalized AI shopping experiences, read Phygital Experiences Help Fashion Retail Shine. For the latest innovations from FIT:MATCH, follow them on Twitter at FIT:MATCH.ai and LinkedIn at FIT:MATCH.ai.

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When you have easy access to services like healthcare, it’s easy to take them for granted. But rural areas all over the globe struggle to secure quality healthcare services. Due to a shortage of healthcare professionals and resources, extensive travel distances, and infrastructure limitations, many rural communities find themselves in an unfortunate position. But it doesn’t have to be this way. Digital health solutions have made significant progress in recent years, allowing rural areas to overcome these challenges and ensure patients receive top-tier healthcare regardless of their location.

In this podcast, we discuss the many benefits of digital health solutions for rural communities, as well as some of the challenges that need to be addressed to ensure the accessibility and effectiveness of these technologies. We also hear from experts about how digital health is used around the world to reshape the healthcare landscape.

Join us as we explore these ideas with: Leonardo Melo, Co-Owner, Diagnext Jason Miao, Oversea Business Director, imedtac Moji Ghodoussi, VP of Business Innovation & Partnerships, Teladoc Health Christina Cardoza, Editorial Director, insight.tech

Leonardo, Jason, and Moji answer our questions about:

  • The struggle to bring quality healthcare to different regions
  • How digital healthcare solutions have evolved over the past few years
  • Challenges hospitals and healthcare providers face in rural areas
  • Breaking down barriers with new tools and technologies
  • Types of infrastructure necessary for virtual healthcare
  • How to successfully deploy digital health solutions
  • Lessons learned from end users and customers
  • The value of partnerships for rural healthcare
  • Healthcare opportunities still on the horizon

Related Content

To learn more about virtual care and digital health solutions, read Telemedicine Solutions: Closing Healthcare’s Digital Divide, IoMT Technology Automates Vital Signs Measurement, and Teladoc Charts the Future of Telehealth.

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IoT has permeated nearly every industry as businesses seek better access and insights into data and operations. But not all IoT devices are well suited for the rugged and sometimes harsh environments they are needed in—both outdoor and indoor. For example, a business that wants to deploy an IoT device in the field to monitor assets and detect anomalies must consider factors like the range of weather conditions and temperatures that the device may encounter.

Fortunately, recent advancements in technology have made it easier to develop ruggedized industrial IoT devices that can reliably and efficiently operate in harsh environments. In this podcast, we will explore the recent advancements that have made rugged IoT a reality, the types of environmental concerns and risks that these devices must withstand, and the best approach for implementing rugged IoT devices in the field.

Join us as we explore these ideas with: Jason Lu, Product Manager, ASUS David Zhu-Grant, Senior Product Manager, OnLogic Chad Hutchinson, Vice President of Engineering, Crystal Group Christina Cardoza, Editorial Director, insight.tech

Jason, David, and Chad answer our questions about:

  • The importance of rugged IoT
  • Deployment challenges for harsh, outdoor environments
  • Deployment challenges for indoor environments
  • Overcoming rugged IoT deployment challenges
  • Implementing rugged IoT devices
  • Choosing scalable and future-proofed rugged IoT devices
  • Use cases and real-world examples
  • Leveraging partnerships to create better rugged IoT solutions

Related Content For the latest innovations from ASUS, OnLogic, and Crystal Group, follow them on:

  • Twitter: @ASUS, @OnLogic, @CrystalGroup
  • LinkedIn: ASUS, OnLogic, Crystal Group

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Location intelligence is already a part of our everyday lives, from using our phones to get directions to finding a nearby restaurant. But businesses now are starting to see the transformative potential of location intelligence.

In fact, 95% of businesses now consider location intelligence to be essential, thanks to its ability to lower costs, improve customer experience, and enhance operations. But many businesses struggle to get the most out of their location data because it's often siloed in different departments or systems.

AI and digital twins can help businesses to break down data silos and create a single, comprehensive view of their spaces in real time. AI can be used to analyze large volumes of location data and identify patterns and trends. Digital twins are virtual replicas of real-world objects or environments that can be used to track and monitor changes over time.

In this podcast, we discuss the importance of location intelligence, the use of AI and digital twins for tracking and monitoring, and how to implement AI-powered tracking and monitoring safely and securely.

Join us as we explore these ideas with: Tony Franklin, GM and Senior Director of Federal and Aerospace Markets, Intel Christina Cardoza, Editorial Director, insight.tech

Tony answers our questions about

  • The importance of location intelligence
  • Businesses’ challenges with achieving real-time insights
  • The role digital twins and artificial intelligence play
  • Tools and technologies necessary for success
  • Using Intel® SceneScape OpenVINO™, Geti™ for location intelligence
  • Addressing privacy concerns with AI-powered tracking and monitoring
  • Future advancements of AI, digital twins, and location intelligence

Related Content To learn more about the importance of location intelligence, read Monitor, Track, and Analyze Any Space with Intel® SceneScape. For the latest innovations from Intel, follow them on Twitter @intel and on LinkedIn at Intel Corporation.

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Edge computing is quickly becoming known for its ability to improve business operations by reducing latency, delivering high performance, and providing real-time insights. But despite its promise, many businesses—especially in the industrial space—struggle to successfully adopt edge computing.

One challenge is that industrial edge computing can be complex to scale. While it is relatively easy to get started with a few edge devices, managing a large-scale edge computing infrastructure can be daunting. Additionally, lack of a single edge computing standard can make it difficult to integrate edge devices and applications from different vendors.

To overcome these challenges, businesses need to take a strategic approach to edge computing adoption. This includes carefully planning their edge computing architecture, selecting the right edge devices and applications, and implementing a robust management and orchestration framework.

In this podcast, we discuss the state of edge computing across different environments, how businesses can successfully approach edge computing, key challenges and how to solve them, and what the future holds for edge computing in this space.

Join us as we explore these ideas with: Martin Garner, Head of IoT Research, CCS Insight Dan Rodriguez, VP and GM of the Network and Edge Solutions Group, Intel Christina Cardoza, Editorial Director, insight.tech

Martin and Dan answer our questions about:

  • 2:49 The state of edge computing
  • 7:04 Different edge opportunities for businesses
  • 11:14 Why adoption is more challenging for manufacturers
  • 15:02 How to successfully approach edge computing
  • 20:52 Lessons learned from industry examples
  • 24:08 The edge computing ecosystem and partnerships
  • 26:36 Future proofing investments and efforts
  • 28:00 What’s next for edge computing

Related Content

To learn more about adopting edge computing, read IoT Initiatives to Scale Industrial Edge Computing. For the latest innovations from CCS Insight and Intel, follow them on Twitter @ccsinsight and @intel, and on LinkedIn at CCS Insight and Intel Corporation.

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There is a common misconception that AI will become an intrusive part of our everyday lives—but it’s actually quite the opposite. The reality is that AI has the potential to enhance everyday life in many ways that we may not even notice. For example, AI video analytics can be used in smart cities to monitor traffic flow, identify hazards, and help emergency responders quickly respond to incidents.

Of course, there are still concerns around security and privacy. But many companies are committed to implementing AI in a way that prioritizes user security.

In this podcast, we talk about the opportunities AI video analytics provide communities, real-world use of AI video analytics in smart cities, and how to successfully deploy these systems in a safe and secure way.

Join us as we explore these ideas with: Srivikraman Murahari, VP of Products and Strategic Alliances, Videonetics Christina Cardoza, Editorial Director, insight.tech

Srivikraman answers our questions about

  • ChallengesAI video analytics address in smart cities
  • Implementing AI solutions that balance citizen privacy and well-being
  • Developing and deploying solutions citywide
  • Technology infrastructure that goes into successful deployments
  • Creating end-to-end solutions with ecosystem partners
  • Additional opportunities and use cases for AI video analytics

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To learn more about what Videonetics is doing in the AI video analytics space, follow them on Twitter and LinkedIn.

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Are we in for an autonomous mobile robot (AMR) takeover? Not exactly. But we can expect to see more AMRs implemented across industries to streamline production, improve operations, enhance work safety, and increase productivity. That’s because recent technology advancements have made the hardware and software components necessary to building these systems more cost-effective and accessible. And with artificial intelligence becoming more mainstream, it’s now possible not only to create AMRs capable of doing human tasks but integrate them into human worker environments.

In this episode, we talk about how all this is possible today, what we can expect in the future, top applications and opportunities for industries, and all the ins and outs of developing, deploying, and implementing AMRs safely and securely.

Join us as we explore these ideas with:
Claire Liu, Senior Product Marketing Manager, congatec
Timo Kuehn, Systems Architect and Product Manager, Real-Time Systems
Christina Cardoza, Editorial Director, insight.tech

Claire and Timo answer our questions about:

  • The meaning of autonomous mobile robots
  • Implementing AMRs safely on the factory floor
  • Developing AMRs to meet real-time demand
  • Taking a modular approach when designing AMRs
  • Tools and technologies necessary for AMR development
  • Biggest use cases and opportunities for AMRs today
  • AMR advancements we can expect

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To learn more about autonomous mobile robots, read IoT Virtualization Jump-Starts Collaborative Robots. For the latest innovations from congatec and Real-Time Systems, follow them on Twitter at @congatecAG and LinkedIn at congatec and Real-Time Systems GmbH.

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Businesses and organizations are filled with all kinds of data that could provide valuable insights into their operations and decision-making. But first they need a strategy and the proper tools and technologies in place to put it all in motion.

In this episode, we look at various data-driven strategies, challenges, and best practices from across industries. We also explore the key components of a successful data-driven culture, such as collecting and managing data, leveraging artificial intelligence and predictive analytics, and forming partnerships with other businesses. By understanding these concepts, businesses can harness the power of data to unlock insights and make informed decisions.

Join us as we explore these ideas with:
Saransh Karira, Head of Engineering, Awios
Atif Kureishy, CEO and Founder, Vistry
Christina Cardoza, Editorial Director, insight.tech

Saransh and Atif answer our questions about

  • The meaning of data-driven cultures
  • Technological advancements making data more accessible
  • Successfully implementing a data-driven strategy
  • AI’s role in creating data-driven cultures
  • Lessoned learned from the industry
  • Leveraging expertise from partners

For the latest innovations from Awiros and Vistry, follow them on:

  • Twitter at @awirosweb and @vistryai
  • and LinkedIn: Awiros and Vistry

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Long wait times and slow checkout lines have become all too familiar in retail stores. With each passing second, customers grow increasingly frustrated, leading to a negative impact on customer satisfaction, store business, and reputation. In today's fast-paced world, shoppers no longer tolerate such experiences.

Fortunately, recent advancements in AI have opened doors to developing solutions that can significantly improve store operations and enhance customer journeys. But lack of in-house development resources poses a challenge for many retail stores looking to implement these innovative solutions.

In this podcast, we explore the shifting landscape of customer expectations, innovative ways AI is used to address retail challenges, and skills and knowledge necessary to build, deploy, and implement AI across retail stores.

Join us as we explore these ideas with:
Ria Cheruvu, AI Software Architect and AI Evangelist, Intel
Nicole O’Keefe, Senior Product Marketing and Operations Manager, Pathr.ai
Christina Cardoza, Editorial Director, insight.tech

Ria and Nicole answer our questions about

  • Changing customer expectations and retail challenges
  • How retailers can become more actionable with AI
  • Building, developing, and deploying AI retail applications
  • AI’s business value and benefits for retailers
  • Tools necessary for developing AI applications
  • Where developers can get started building solutions
  • Successfully implementing AI solutions in stores
  • Creating an end-to-end retail operations solution
  • Continuing the success of AI in the retail space

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To learn more about developing retail technology, read The Future of Retail Technology Is Spatial Intelligence, visit Intel’s AI Reference Kits, and join the OpenVINO™ discussion on GitHub to share your experiences. For the latest innovations from Intel and Pathr.ai, follow them on Twitter at @intel and @pathr_ai and LinkedIn at Intel Corporation and Pathr.ai.

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The electric vehicle market is growing rapidly, and with it comes a number of challenges and opportunities. On the one hand, EV technologies offer significant environmental benefits. On the other hand, there could be consequences plugging these devices into the power grid.

In this podcast, we explore the key challenges that need to be addressed before EVs can become truly mainstream. We will discuss the need for a robust charging infrastructure, the potential for EVs to revolutionize transportation, and how this technology can be safely and sustainably adopted on a large scale.

Join us as we explore these ideas with:
Maurizio Caporali, Chief Product Officer, SECO
Ezana Mekonnen, Chief Technology Officer, Imagen Energy
Christina Cardoza, Editorial Director, insight.tech

Maurizio and Ezana answer our questions about:

  • The rise of, and interest in, electric vehicles
  • How the grid can keep up with the pace of the EV market
  • Implementing EV technologies in a safe and sustainable way
  • How EV technologies can utilize existing infrastructure
  • Futureproofing today’s efforts for scale and flexibility
  • Leveraging expertise from different companies
  • EV technology benefits from a user and business perspective

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To learn more about electric vehicles, read AI and CV Power Up the EV Charging Station Boom. For the latest innovations from SECO, follow them on Twitter at @SECO_spa and LinkedIn, and follow Imagen Energy on LinkedIn.

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Did you know the average bare-metal physical security hardware system uses only 60% of available CPU resources and 45% of memory? As more industries transform their video camera systems into intelligent solutions capable of providing valuable insights, they could be underutilizing their resources.

Fortunately, by adopting a virtual architecture, businesses can optimize their system resources by consolidating them within a virtual environment. This approach not only maximizes resource utilization but also reduces reliance on physical hardware, sometimes even by up to 50%.

In this episode, we delve into the profound impact of virtualization on the video analytics field. We explore strategies to overcome implementation challenges and discuss why businesses should seriously consider making this transition sooner rather than later.

Join us as we explore these ideas with:
Darren Giacomini, Director of Business Development, BCD
Christina Cardoza, Editorial Director, insight.tech

Darren answers our questions about

  • The evolution of physical security systems
  • Challenges with obtaining valuable video data analytics
  • The role of virtualization in providing valuable insights
  • How to successfully make the move toward virtualization
  • Lessons learned from others in the industry
  • Partnerships backing the move toward virtualization
  • The future of virtualization for businesses

Related Content

For the latest innovations from BCD, follow them on Twitter at @BCDvideo and on LinkedIn.

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From diagnosing diseases to detecting defects on the production line to providing deeper insights into customer behavior—AI increasingly transforms the way businesses across all industries operate today. But who truly makes these deployments successful is developers creating AI models and solutions capable of providing business value. When AI developers are equipped with the right tools, technology, and knowledge, they have the power to make all kinds of exciting and innovative use cases.

In this podcast episode, we discuss how AI is used to improve efficiency, make better decisions, enhance customer experience, and provide a competitive advantage. We also explore tools and technologies that allow developers to successfully build and deploy these AI models and solutions as well as touch on some of the latest capabilities in the OpenVINO™ 2023.0 release.

Join us as we explore these ideas with: Yury Gorbachev, OpenVINO architect, Intel Raymond Lo, AI Software Evangelist, Intel Christina Cardoza, Editorial Director, insight.tech

Yury and Raymond answer our questions about

  • The evolution of artificial intelligence in recent years
  • How developers benefit from AI advancements
  • Best practices for successful AI deployments
  • The five-year anniversary of the AI toolkit OpenVINO
  • New tools making AI more accessible to business users
  • The future of AI and the role of OpenVINO
  • What developers can expect in OpenVINO 2023.0

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To learn more about AI development, read Development Tools Put AI to Work Across Industries. To learn more about the latest release of OpenVINO, visit https://openvino.ai/. For the latest innovations from Intel, follow them on Twitter and LinkedIn.

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Get ready for the next phase of smart manufacturing, where a plethora of exciting advancements and transformative changes are expected to take center stage. We’ve already seen real-time analytics provide deep insight into operations and production, AI enhance worker safety and defect detection, and autonomous mobile robots introduced on the factory floor. But what about robots building robots or collaborative robots introduced alongside human workers on the production line?

These are just a few demonstrations presented at the latest Hannover Messe conference in April, and there’s still so much more to look forward to.

In this episode of the IoT Chat, we learn more about opportunities for industrial digitization, tools and technologies enabling manufacturing innovations, and obstacles the industrial space needs to overcome to achieve them.

Join us as we explore these ideas with:

Ricky Watts, Industrial Solutions Director, Intel Teo Pham, digital trends expert Christina Cardoza, Editorial Director, insight.tech

Ricky and Teo answers our questions about • Where the manufacturing space is headed • Upcoming industrial AI applications we can expect • How manufacturers can take advantage of new opportunities • Determining the need for CPUs or GPUs • Benefits of moving manufacturing to the edge • The role of cloud in smart manufacturing

Related Content To learn more about smart manufacturing, read Hannover Messe 2023: The Next Phase of Smart Manufacturing. For the latest innovations from Intel, follow them on Twitter and LinkedIn, and follow Teo on Twitter at @teoAI_

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As telecoms strive to lower costs, improve scalability, and increase innovation, the move toward Open Radio Access Networks (RAN) and virtualized RANs (vRAN) is becoming more common. But this path forward is not without its challenges. 

In this episode, we discuss the various interoperability, performance, and reliability considerations that telecoms must take into account as they move toward these new technologies. In addition, we’ll explore how these concepts relate to one another, the latest advancements in the mobile and connectivity space, and how to stay one step ahead of the curve. 

Join us as we explore these ideas with: Randy Cox, VP of Product Management and Industry Verticals, Wind River Brandon Lewis, Editor-in-Chief, Embedded Computing Design Christina Cardoza, Editorial Director, insight.tech

Randy and Brandon answer our questions about •    Trends in the mobile and connectivity space •    The move to Open RAN and vRAN •    Wind River’s role in telecom transformations •    Why telecoms should look at the latest Intel® Xeon® processors •    Wind River Studio’s latest single-core support •    Important partnerships for mobile and connectivity •    What else there is to know about O-RAN, Open Ran, and vRAN

Related Content To learn more about Open RAN and vRAN, read MWC 2023: Where IoT Networking Meets the Intelligent Edge. For the latest innovations from Wind River, follow them on Twitter and LinkedIn; and follow Brandon at @TechieLew.  

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Join us as we explore these ideas with: Lisa McGarvey, Vice President, Solutions, Verticals, and Alliances at TDSYNNEX Matt Tyler, Vice President, Strategic Innovation and Business Development at Wachter, Inc. Ben Kotvis, Senior Architect at Insight Tobias Enders, CEO at GPA Christina Cardoza, Associate Content Director at insight.tech

Lisa, Matt, Ben, and Tobias answer our questions about:

  • The evolving role of SIs and aggregators in the IoT world
  • Challenges SIs and aggregators face in the IoT space
  • The importance of SIs and aggregators when scaling across markets and regions
  • Key IoT trends and opportunities for SIs and aggregators
  • Examples of how SIs and aggregators provide IoT support
  • What they look for when choosing an SI or aggregator
  • The future of the IoT space and the roles of SIs and aggregators

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To learn more about system integrators and the IoT space, listen to Into the IoT Partner Multiverse with Tech Data EMEA and Seven Dirty Secrets of IoT. For the latest innovations from TD SYNNEX, Wachter, Inc., Insight, and GPA, follow them on Twitter at @TDSYNNEX, @WachterInc, @InsightEnt, and @GPA_AV and on LinkedIn at TD SYNNEX, Wachter, Inc., Insight, and GPA.

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Healthcare AI has become a powerful tool in the fight against cancer, allowing researchers to analyze vast amounts of data and make new discoveries faster than ever before.

Join us as we learn about the innovative tools and technologies making cancer research and treatment improvements possible. We look at how AI is being used to identify new cancer treatments, predict patient outcomes, and how these systems can ensure personal information remains safe. We also discuss challenges and opportunities of using AI in cancer research, and how this technology transforms the way we approach cancer treatment and prevention.

Join us as we explore these ideas with: André Aichert, Research Scientist, Siemens Healthineers Dr. Johannes Uhlig, Assistant Professor of Radiology, University Medical Center Göttingen Christina Cardoza, Editorial Director, insight.tech

André and Dr. Uhlig answer our questions about:

  • Recent AI advancements transforming healthcare
  • Importance of technology and healthcare provider partnerships
  • Advanced research platforms versus traditional platforms
  • Using technology for cancer research and clinical purposes
  • Additional industry partners powering AI cancer research
  • The future of technology collaborations and cancer research

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To learn more about healthcare AI transformations, read The Doctor Will View You Now. For the latest innovations from Siemens Healthineers, follow them on Twitter and LinkedIn.

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Join us as we explore these ideas with: John Dwinell, Founder and CEO, Siena Analytics Christina Cardoza, Editorial Director, insight.tech

John answers our questions about

  • Current challenges and trends facing the supply chain
  • IoT technologies for smart supply chain logistics
  • Why AI-powered supply chains matter
  • How to implement IoT and smart tracking technologies
  • Ensuring the security and privacy of customer data
  • The role of Siena Analytics in this space
  • Dealing with changes in supply and demand
  • Where smart supply chain logistics are going next

Related Content

To learn more about AI-powered supply chain logistics, read AI Unlocks Supply Chain Logistics. For the latest innovations from Siena Analytics, follow them on LinkedIn. 

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Electric utility companies face multiple challenges in maintaining a reliable power supply. With extreme weather events, the impact of climate change, and an increasing global demand for electricity, they need to keep the lights on while also focusing on sustainability, energy efficiency, and decarbonization. These obstacles require electric utilities to rethink how they design, manage, and maintain the power grid to ensure its resilience, reliability, and affordability for the future.

In this IoT Chat episode, we hear from industry experts and thought leaders at the forefront of this transformation. They discuss the latest innovations in grid modernization, including use of artificial intelligence, machine learning, and blockchain technology, and how these solutions help make the grid more resilient and secure.

Join us as we explore these ideas with: Jani Valtari, Technology Center Manager, ABB Russell Boyer, Global Energy Field Director, Dell Technologies Prithpal Khajuria, Director of Energy, Intel Anthony Sivesind, Edge Solution Architect, VMware Christina Cardoza, Editorial Director, insight.tech

Jani, Russell, Prithpal, and Anthony answer our questions about:

  • Power grids’ recent evolutions and changes
  • State of the power grid today
  • Ongoing efforts to modernize the power grid
  • How to scale and measure the success of grid modernization
  • The biggest opportunities for changes within the grid
  • Emerging technologies to improve the power grid
  • Real-world examples of grid modernization across the globe
  • Importance of industry standards
  • The future of grid modernization

Related Content

To learn more about efforts to modernize the grid, read Grid Modernization Powers the Way to a Decarbonized Economy and listen to ABB Talks Smart Grids, Substations, and Security. For the latest innovations from these companies, follow them on LinkedIn: ABB, Dell Technologies, Intel Internet of Things, and VMware.

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Intel has recently released some of the most versatile processors available to IoT hardware engineers, AI software developers, and systems architects today. The 4th Gen Intel® Xeon® Scalable processors, codenamed Sapphire Rapids, offer a secure and powerful foundation for workload consolidation, edge AI, deep learning, and long life needed in demanding environments.

In this podcast, we take a closer look at what this release means for the industrial and federal space, and explore advantages of these processors over previous generations, including increased versatility, security, and power. We also discuss how these new processors can help industrial organizations optimize their operations and improve efficiency.

Join us as we explore these ideas with: Christine Boles, VP of the Network & Edge Group and GM of Federal & Industrial Solutions, Intel Christina Cardoza, Editorial Director, insight.tech

Christine answers our questions about:

  • What the release means to the federal and industrial space
  • How the latest processors compare to previous generations
  • Top use cases to benefit from the 4th Gen Xeon processors
  • The role these processors play in edge adoption

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To learn more about the 4th Gen Intel® Xeon® Scalable processors, read Intel Boosts Edge Productivity with Processor Innovations. For the latest innovations from Intel, follow them on Twitter and LinkedIn.

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In this podcast, we look at what this latest-generation CPU release means to the overall IoT and enterprise space, performance and capability advantages of hybrid microarchitecture design, and advantages that 13th Gen Intel® Core™ processors offer over previous generations.

Join us as we explore these ideas with: Jeni Panhorst, Vice President & General Manager, Network & Edge Compute Division, Intel Christina Cardoza, Editorial Director at insight.tech

Jeni answers our questions about

  • Exciting new features of 13th Gen Intel® Core™ processors
  • Advantages of hybrid microarchitecture
  • How it compares to previous generations of processors
  • New opportunities made possible by the latest processors

Related Content

To learn more about the capabilities and hybrid microarchitecture of 13th Gen Intel® Core™ Processors, read Intel Boosts Edge Productivity with Processor Innovations. For the latest innovations from Intel, follow them on Twitter and LinkedIn.

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Ask manufacturers if they’re familiar with Industry 4.0 and it’s likely you’ll get a “yes.” But ask if they’re taking full advantage of its benefits, and many of those yesses change to no or I’m not sure.

As the world becomes increasingly digital, it’s critical that factories keep pace with changes by bringing AI to the shop floor and adopting software-defined factory automation.

In this podcast, we examine key trends transforming industry operations—including the increasing use of digital twins and the expanding role of edge devices and AI capabilities. We also look at why it’s vital that factories close the communication gap between OT and IT teams, implement technology standards for standardization, and ensure new manufacturing technologies are as accessible and user-friendly as possible.

Join us as we explore these ideas with: Rainer Brehm, CEO of Factory Automation, Siemens Christina Cardoza, Editorial Director, insight.tech

Rainer answers our questions about:

  • The ongoing evolution of the factory floor
  • Challenges associated with industrial digital transformation
  • New complications and opportunities that come with edge and AI
  • Examples of how others in the industry handle these changes
  • The value of collaboration and partners for factory automation
  • How to leverage the latest technology updates

Related Content

To learn more about factory automation, watch 5G Is Here: What Does It Mean for the Factory? For the latest innovations from Siemens, follow them on Twitter at @Siemens and LinkedIn.

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Operating a quick-service restaurant is not for the faint of heart. Whether it’s ensuring inventories are sufficient, kitchens are suitably staffed, fickle customers are satisfied, or meal quality is consistent across multiple locations, food service is one industry in need of a ready solution that can address these challenges.

In this podcast, we discuss why AI may be the ideal answer for overstretched restaurants. Specifically, we dive into how restaurants can use cloud vision AI platforms to guarantee only the freshest food is served. In addition, we explore how AI can help transform restaurants into efficient, data-driven operations capable of ensuring meal order accuracy, reducing kitchen stress, and seamlessly integrating with third-party delivery services.

Join us as we explore these ideas with: Hauke Feddersen, Vice President of Operations, PreciTaste Christina Cardoza, Editorial Director, insight.tech

Hauke answers our questions about

  • Demand for AI in the food service industry
  • New expectations from customers
  • Integrating with third-party delivery services
  • Implementing AI into a quick-service restaurant (QSR)
  • Taking an edge computing and cloud approach
  • QSRs that have implemented AI-based solutions
  • Future use cases of AI in restaurants

Related Content

To learn more about AI in the food service industry, read When the Customer Experience Feels Deeply Human. For the latest innovations from PreciTaste, follow them on LinkedIn.

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The global community was ready to welcome a period of relative stability as it recovered from the pandemic—but that’s not what it got. Instead, a formidable mix of international tensions, political instability, supply chain disruptions, and rising inflation have made 2022 an especially turbulent year. But despite continuing uncertainty, it’s clear that IoT technology will play a critical role as the world responds to changing economic conditions.

To help ensure you stay ahead of the IoT trends and technologies, this podcast forecasts what’s in store for IoT in 2023 and beyond. Specifically, we take a closeup look at the worldwide expansion of 5G networks, the importance of remote support operations, and the promise of the metaverse. In addition, we spotlight a few key IoT trends to watch—including the continued growth of artificial intelligence and virtual technologies, as well as the increasing demand for sustainable solutions.

Join us as we explore these ideas with: Martin Garner, COO, CCS Insight Bola Rotibi, Chief of Enterprise Research, CCS Insight Christina Cardoza, Associate Editorial Director, insight.tech

Martin and Bola answers our questions about

  • What’s driving IoT trends and themes for 2023
  • How last year’s predictions played out
  • Realizing the full benefits of digital transformations
  • IoT trends and technologies for enterprises
  • 5G and 6G adoption throughout the next year
  • What to expect from the metaverse
  • The ongoing role of AI and machine learning

Related Content To learn more about IoT trends and technologies, read IoT-Related Predictions for 2023 and Beyond. For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn.

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For many companies, connecting IT and OT networks can be a double-edged sword. Yes, doing so delivers greater visibility and makes it possible to better utilize platforms, buildings, industrial PLCs, and more. But it also increases complexity and blurs network boundaries—resulting in vulnerabilities that provide hackers with ample opportunities to strike.

In this podcast, we review how organizations deploy Field Programmable Gate Arrays (FPGAs) to maintain performance while shielding their increasingly connected devices and data from attacks. Specifically, we take a closeup look at how FPGAs can be easily updated to protect devices at the edge and examine how this custom hardware provides a solid platform for implementing industry standards necessary for securely authenticating, updating, and sharing data across a network.

Join us as we explore these ideas with: Mark Frost, Technical Marketing Manager, Intel Louis Parks, CEO, Veridify Christina Cardoza, Associate Editorial Director, insight.tech

Mark and Louis answer our questions about

  • The challenge with OT security
  • Top trends and challenges in the security industry
  • How today’s security solutions need to evolve
  • What FPGAs are and why they are important
  • The state of organizations’ security strategies
  • FPGA support for industry recommendations
  • OT network security tools and technologies
  • Ongoing partnerships to address security issues

Related Content For the latest innovations from Veridify, follow them on Twitter at @Veridify and on LinkedIn.

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Are you getting a full picture of what is going on in your business or industry? Whether you are in healthcare, retail, manufacturing, education, or smart cities, it’s important to be able to understand what is happening at all times. But too often security and video surveillance solutions are not connected, which can result in loss of data, false alarms, and missed opportunities.

By having a unified security solution to monitor, maintain, and manage your physical assets, users can easily get a single view of everything going on in their business and abstract valuable data.

In this podcast, we talk about the benefits of unified security solutions versus standalone systems, how to overcome the challenges of deploying these solutions, and the latest capabilities in the physical security space.

Join us as we explore these ideas with:
David Trujillo, Sales Engineer, AxxonSoft
Christina Cardoza, Associate Editorial Director, insight.tech

David answers our questions about

  • (1:21) Recent evolutions and changes in the security landscape
  • (4:43) Integrated versus unified security solutions
  • (7:45) Privacy considerations for video surveillance systems
  • (11:12) Challenges businesses face when deploying security systems
  • (12:11) How to leverage existing infrastructure
  • (13:41) Business opportunities that unified security systems present
  • (15:00) The role of artificial intelligence across verticals
  • (16:48) Business use cases for unified security

Related Content For the latest innovations from AxxonSoft, follow them on Twitter at @AxxonSoft_EN and on LinkedIn.

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Healthcare is in the midst of a technological revolution. Just look at the past couple of years as telehealth, remote monitoring, and digital data access have taken patient care to previously unimagined levels. And now augmented reality (AR) promises to further transform the healthcare experience by making it possible to simulate diseases, visualize surgeries, and strengthen both diagnoses and treatment.

In this podcast, we dive into the promise of AR, and examine how deploying this interactive technology is a win-win-win for the healthcare industry. Specifically, we learn how AR helps put patients at ease by keeping them informed and empowered. We also hear how AR improves and streamlines physicians’ training. And we detail how AR guided surgery makes a huge difference for surgeons and physicians in the operating room.

Join us as we explore these ideas with:
Shae Fetters, VP of Sales, Novarad
Dr. Michael Karsy, Assistant Professor, University of Utah
Christina Cardoza, Associate Editorial Director, insight.tech

Shae and Dr. Karsy answer our questions about

  • How augmented reality transforms the healthcare space
  • Introducing AR in operating rooms
  • Educating staff and patients on the use of AR technology
  • Hardware and technology components of AR-guided surgery
  • Partnerships enabling this technology in hospitals
  • AR compared to traditional OR methods
  • The future of AR in healthcare
  • Additional opportunities for AR in the future

Related Content To learn more about augmented reality in healthcare, read AR and AI Change the Game in Medical Imaging. For the latest innovations from Novarad, follow them on Twitter at @NovaradCorp and on Linkedin.

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Over the years, few things have changed as much as manufacturing. Today, factory machines and industrial devices are constantly communicating, connecting to the internet, and exchanging massive amounts of data.

But while increased machine interactions are a transformative element of Industry 4.0, they’ve also opened the door to multiple challenges—including disparate devices hindering data transfer and a rising number of security threats.

In this podcast, we discuss attempts to reduce complexities associated with smart factories, specifically blending of IT and OT technology into a single network spanning wired and wireless technologies. We also take a closeup look at open industrial interoperability standards from the OPC Foundation, and examine how these efforts are establishing themselves as the future of the industry by enabling manufacturers to simply and securely “connect anything to anything.”

Join us as we explore these ideas with:
Bernhard Eschermann, CTO of Process Automation, ABB
Stefan Schönegger, Vice President of Product Management, B&R Automation
David McCall, Senior Director of Industrial and Consumer IoT Standards, Intel®Peter Lutz, Director of Field Level Communications, OPC Foundation
Christina Cardoza, Associate Editorial Director, insight.tech

Bernhard, Stefan, David, and Peter answer our questions about

  • Biggest challenges on the factory floor
  • Overcoming industrial device communication complexities
  • The pros and cons of today’s digital technologies
  • The OPC Foundation’s role in industrial communication
  • An update on the OPC-FX standard
  • How OPC Foundation’s open standards benefit manufacturers
  • The importance of working with partners on open standards
  • What’s next for the OPC Foundation

Related Content For the latest innovations from ABB, B+R, Intel®, and OPC Foundation, follow them on Twitter at @ABBgroupnews, @BR_Automation, @Inteliot, and the @OPCFoundation; and LinkedIn at ABB, B&R Industrial Automation, Intel Internet of Things, and OPC Foundation

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Today, companies are on a never-ending quest to cut costs and shrink production time. To achieve those goals, they increasingly turn to digital twins to pinpoint process failures before any product goes into production.

While available for years, this virtual-model technology increasingly helps organizations test performance and efficacy by transferring live data from a real-world system to its digital replica. The result: instant visual feedback that elevates risk assessment and decision-making.

In this podcast, we examine the central role that digital-twins technology plays in machine testing, simulation, monitoring, staff training, and maintenance. In addition, we detail how factories harvest mountains of data by using digital twins to pinpoint valuable information and extract maximum value.

Join us as we explore these ideas with:

Martin Garner, COO of CCS Insights
Ricky Watts, Industrial Solutions Director at Intel®Christina Cardoza, Associate Editorial Director at insight.tech

Martin and Ricky answer our questions about

  • The definition of digital twins
  • What digital twins means to the manufacturing industry
  • The challenges of new digital technologies
  • How to successfully implement digital twins within the factory
  • What skills manufacturers need to be successful
  • Tools and technologies for digital-twin adoption
  • The ecosystem of partners making digital twins possible
  • Final key thoughts and takeaways

Related Content To learn more about digital twins in manufacturing, read CCS Insight’s white paper on the topic. For the latest innovations from CCS Insight and Intel, follow them on Twitter at @ccsinsight and @Inteliot, and on LinkedIn at CCS-Insight and Intel-Internet-of-Things.

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Fact or myth? Brick-and-mortar stores are dead and buried. Given the recent trend toward online shopping, it must be true, right? Wrong. Believe it or not, it is a myth.

Brick-and-mortar stores are alive and well. And they are only improving as they undergo a digital evolution and search for new ways to create “intimate” in-store customer engagements in a world that increasingly embraces the convenience of online shopping.

In this podcast, we take a close-up look at how offline and online are merging—and how this developing omnichannel relationship will impact consumer engagement going forward. Plus, we examine how retailers are successfully sifting through massive amounts of customer data to hyper-target messaging and drive in-store sales.   

Join us as we explore these ideas with:
Jay Hutton, Co-Founder and CEO, VSBLTY
Christina Cardoza, Associate Editorial Director, insight.tech

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Fact or myth? Brick-and-mortar stores are dead and buried. Given the recent trend toward online shopping, it must be true, right? Wrong. Believe it or not, it is a myth.

Brick-and-mortar stores are alive and well. And they are only improving as they undergo a digital evolution and search for new ways to create “intimate” in-store customer engagements in a world that increasingly embraces the convenience of online shopping.

In this podcast, we take a close-up look at how offline and online are merging—and how this developing omnichannel relationship will impact consumer engagement going forward. Plus, we examine how retailers are successfully sifting through massive amounts of customer data to hyper-target messaging and drive in-store sales.   

Join us as we explore these ideas with:
Jay Hutton, Co-Founder and CEO, VSBLTY
Christina Cardoza, Associate Editorial Director, insight.tech

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Did you know that commercial and industrial buildings contribute to almost half of the world’s carbon footprint? When you think about it like that, you can see why more and more businesses are committing to aggressive sustainability goals. And the best way to achieve net zero or carbon neutrality is by creating smart, connected, and sustainable buildings—especially in today’s hybrid work environment.

For example, if only half your workforce comes to the office at any given time, it doesn’t make economic sense to keep all the lights on all the time. And it’s more than just lights. It’s HVAC systems, air quality, security systems, and power supply that all play a role—from office spaces to bathrooms, cafeterias, and even parking lots.

In this podcast we look at what a smart building means, technologies that make a building “smart,” and the role buildings play in larger sustainability efforts.

Join us as we explore these ideas with:
Graeme Jarvis, Vice President of Digital Solutions, Johnson Controls
Sunita Shenoy, Senior Director of Technology Products, Intel®Christina Cardoza, Associate Editorial Director, insight.tech

Graeme and Sunita answer our questions about:

  • The challenge of today’s hybrid work environment
  • Energy use and sustainability challenges in buildings
  • Efforts that lead to buildings becoming more energy efficient
  • How technology drives smart and sustainable buildings
  • How to leverage existing IT and connect disparate systems
  • Smart and sustainable building use cases and examples
  • Intel-led sustainability efforts and goals
  • The power of partnerships

Related Content To learn more about smart buildings, read The Future of Smart Buildings? Net Zero. For the latest innovations from Johnson Controls, follow them on Twitter at @johnsoncontrols and LinkedIn.

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Did you know that commercial and industrial buildings contribute to almost half of the world’s carbon footprint? When you think about it like that, you can see why more and more businesses are committing to aggressive sustainability goals. And the best way to achieve net zero or carbon neutrality is by creating smart, connected, and sustainable buildings—especially in today’s hybrid work environment.

For example, if only half your workforce comes to the office at any given time, it doesn’t make economic sense to keep all the lights on all the time. And it’s more than just lights. It’s HVAC systems, air quality, security systems, and power supply that all play a role—from office spaces to bathrooms, cafeterias, and even parking lots.

In this podcast we look at what a smart building means, technologies that make a building “smart,” and the role buildings play in larger sustainability efforts.

Join us as we explore these ideas with:
Graeme Jarvis, Vice President of Digital Solutions, Johnson Controls
Sunita Shenoy, Senior Director of Technology Products, Intel®Christina Cardoza, Associate Editorial Director, insight.tech

Graeme and Sunita answer our questions about:

  • The challenge of today’s hybrid work environment
  • Energy use and sustainability challenges in buildings
  • Efforts that lead to buildings becoming more energy efficient
  • How technology drives smart and sustainable buildings
  • How to leverage existing IT and connect disparate systems
  • Smart and sustainable building use cases and examples
  • Intel-led sustainability efforts and goals
  • The power of partnerships

Related Content To learn more about smart buildings, read The Future of Smart Buildings? Net Zero. For the latest innovations from Johnson Controls, follow them on Twitter at @johnsoncontrols and LinkedIn.

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Machine learning is no longer just for the AI experts of the world. With ongoing initiatives to democratize the space, it’s for business users and domain users now, too. Users no longer need to have any programming language knowledge to build and deploy machine learning models.

But democratizing machine learning does not mean data scientists and machine learning engineers are now obsolete. When machine learning becomes simplified, it means less time spent acquiring the data, transforming the data, cleaning the data, and preparing the data to train and retain models. Instead, they can focus on the core aspects of machine learning like unlocking valuable data and enabling business results.

In this podcast, we talk to machine learning solution provider MindsDB about why machine learning is crucial to a business’ data strategy, how democratizing machine learning helps AI experts, and the meaning of in-database machine learning.

Join us as we explore these ideas with:
Erik Bovee, Vice President of Business Development, MindsDB
Christina Cardoza, Associate Editorial Director, insight.tech

Erik answers our questions about

  • The state of machine learning adoption
  • Giving businesses the confidence to create machine learning models
  • Machine learning challenges beyond skill set
  • Benefits of democratizing machine learning for data scientists
  • The importance of in-database machine learning
  • How data scientists can leverage MindsDB’s platform
  • Use cases for in-database machine learning
  • The best places to get started on a machine learning journey

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Machine learning is no longer just for the AI experts of the world. With ongoing initiatives to democratize the space, it’s for business users and domain users now, too. Users no longer need to have any programming language knowledge to build and deploy machine learning models.

But democratizing machine learning does not mean data scientists and machine learning engineers are now obsolete. When machine learning becomes simplified, it means less time spent acquiring the data, transforming the data, cleaning the data, and preparing the data to train and retain models. Instead, they can focus on the core aspects of machine learning like unlocking valuable data and enabling business results.

In this podcast, we talk to machine learning solution provider MindsDB about why machine learning is crucial to a business’ data strategy, how democratizing machine learning helps AI experts, and the meaning of in-database machine learning.

Join us as we explore these ideas with:
Erik Bovee, Vice President of Business Development, MindsDB
Christina Cardoza, Associate Editorial Director, insight.tech

Erik answers our questions about

  • The state of machine learning adoption
  • Giving businesses the confidence to create machine learning models
  • Machine learning challenges beyond skill set
  • Benefits of democratizing machine learning for data scientists
  • The importance of in-database machine learning
  • How data scientists can leverage MindsDB’s platform
  • Use cases for in-database machine learning
  • The best places to get started on a machine learning journey

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Are you struggling between Windows and Linux operating systems? Linux is great for leveraging cloud-native workloads and advanced capabilities such as AI or ML, but most existing workloads and applications are built around Windows. This results in businesses having to make compromises on which capabilities they can bring to their infrastructure and technology stack.

That’s why the Azure IoT Edge for Linux on Windows (EFLOW) was developed to help blend the old with the new and enable Linux-based workloads to run on Windows devices. The solution is already being used to address supply chain issues by modernizing ports with cross-platform capabilities and more.

In this podcast, we will explore the challenges with today’s industry transformation efforts, the role EFLOW plays, and how to successfully implement the platform, as well as necessary partners for IoT success.

Join us as we explore these ideas with:

Scott Chmiel, Business Development Manager at Arrow
Steen Graham, Co-Founder and CEO of Scalers.ai
Christina Cardoza, Associate Editorial Director

Scott and Steen answer our questions about

  • The state of today’s industry transformations
  • The impact of IoT challenges both on a business and societal level
  • The different players involved in transformations, for example, smart ports
  • How to make innovative and impactful business transformations
  • The technology strategy behind industry transformations
  • Deploying innovative apps with EFLOW
  • How EFLOW was used in port modernization efforts
  • The value of EFLOW across all verticals
  • What types of partnerships go into these transformations

Related Content For the latest innovations from Arrow, follow them on Twitter at @Arrow_dot_com and LinkedIn at Arrow-Electronics.

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The time is now for manufacturers to start moving toward a smart factory before being left behind by their competitors. But where do they begin? The challenge is that there’s no right answer. To come up with workable solutions, manufacturers must clearly understand the operational problems they face.

For example, a lot of manufacturers still conduct manual defect detection on the production line. This is not only expensive and time consuming, but often leads to inaccurate results. One way to address this issue is to apply machine vision and deep-learning models to smart cameras and automate the quality inspection process.

In this podcast, we explore changes happening on the factory floor, what makes a smart factory run, and how machine vision and AI improve the product inspection process.

Join us as we explore these ideas with:
David Dewhirst, VP of Marketing, Mariner
Christina Cardoza, Associate Editorial Director, insight.tech

David answers our questions about:

  • What is a smart factory?
  • How manufacturers have adapted to digital transformation
  • Getting started on the smart-factory journey
  • Computer vision vs. machine vision
  • Importance of AI for product defect detection
  • What to do when there is lack of IT support
  • Data processing in the cloud and at the edge
  • Working in a partner ecosystem

Related Content

To learn more about defect detection, read A Guaranteed Model for Machine Learning. For the latest innovations from Mariner, follow it on Twitter at @MarinerLLC and LinkedIn at Mariner.

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Computer vision has already cemented its place in smart manufacturing and industrial IoT solutions. But to unlock the full potential of these applications, more and more processing needs to be moved to the edge. The problem is that there is no one-size-fits-all approach when it comes to edge computing.

In this podcast, we will talk about the different “flavors” of edge computing, how to successfully deploy AI at the edge, and the ongoing role of the cloud.

Join us as we explore these ideas with:
Jason Shepherd, VP of Ecosystem at ZEDEDA
Blake Kerrigan, General Manager at Lenovo
Christina Cardoza, Associate Editor Director, insight.tech

Jason and Blake answer our questions about:

  • Recent transformations in the manufacturing industry
  • The role of edge computing in industrial IoT solutions
  • Successfully deploying AI at the edge
  • The tools and technologies for edge computing
  • When to use (and not use) the cloud
  • Having the proper AI expertise and IT support
  • Future-proofing manufacturing process and strategy

Related Content To learn more about edge computing in manufacturing, read Cloud Native Brings Computer Vision to the Critical Edge. For the latest innovations from Lenovo and ZEDEDA, follow them on Twitter at @Lenovo and @ZededaEdge, and LinkedIn on at Lenovo and Zededaedge.

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Customer interactions have gone digital. Whether it is shopping online, ordering food, checking into a hotel, or paying for your bill with your phone—customers expect the same level of convenience and experience online and in stores. This creates pressures for retailers to implement new technologies and transform physical spaces. But if done correctly, it could have huge benefits beyond the customer experience.

For instance, imagine if retailers could use new digital experiences in stores to track and predict every touchpoint in the customer journey similarly to how they would online? With companies like meldCX and Intel®, it’s becoming more and more possible. In this podcast, we talk about the evolution of customer experiences, what retailers can do to meld physical and online stores together, and what a successful omnichannel experience looks like.

Join us as we explore these ideas with:
Stephen Borg, Co-Founder and CEO of meldCX
Chris O’Malley, Director of Marketing for the IoT Group at Intel®Christina Cardoza, Associate Editorial Director

Stephen and Chris answer our questions about:

  • The evolution of customer experiences
  • How retailers are adapting to the changes
  • Top retail pain points when working with new technologies
  • What a successful retail omnichannel looks like
  • How to gain more value from your business
  • Making sense of available retail data
  • The importance of a partner ecosystem
  • Future-proofing your technology investments

Related Content For the latest innovations from meldCX, follow them on LinkedIn.

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What can artificial intelligence do for your business? Well, for starters, it can transform it into a smart, intelligent, efficient, and constantly improving machine. The real question is: how? There are multiple different ways businesses can improve their operations and bottom line by deploying AI apps. But it’s not always straightforward and it requires a lot of skills and knowledge the business often does not have.

Thankfully, companies like Red Hat and Intel have worked hard to simplify AI development and make it more accessible to enterprises and developers.

In this podcast, we will discuss the growing importance of AI across all industries, what the journey of an AI application looks like from development to development, and what comes next, and the partners and tools that make it all possible.

Join us as we explore these ideas with:
Audrey Reznik, Senior Principal Software Engineer, Red Hat
Ryan Loney, Product Manager for OpenVINO™ Developer Tools, Intel®Christina Cardoza, Associate Editorial Director, insight.tech

Audrey and Ryan answer our questions about:

  • The business benefits of AI and ML
  • AI and ML use cases and adoption
  • Challenges to deploying AI applications
  • The recent release of OpenVINO 2022.1
  • Red Hat’s experience with the new OpenVINO capabilities
  • The AI app journey from development to deployment
  • How to get started on an AI journey
  • How OpenVINO can boost AI efforts

Related Content To learn more about AI and the latest OpenVINO release, read AI Developers Innovate with Intel® OpenVINO™ 2022.1. For the latest innovations from Intel and Red Hat, follow them on Twitter at @Inteliot and @RedHat, and LinkedIn at Intel-Internet-of-Things and Red-Hat.

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As the world becomes more connected, businesses no longer can afford to have their IT and OT teams operate as separate islands. They need to collaborate and communicate to adapt and respond to their ever-changing business needs. But how do you merge these two separate worlds?

In this podcast, we explore how to break down IT and OT silos, the biggest business benefits, and the new opportunities IT/OT convergence creates for systems integrators.

Join us as we explore these ideas with:
Jan Burian and Head of Manufacturing Insights for IDC
Sunnie Weber, IoT Ecosystem Strategy Leader for Intel
Kenton Williston, Editor-in-Chief for insight.tech

Podcast Topics Jan and Sunnie answer our questions about:

  • The importance of IT/OT convergence
  • New businesses opportunities stemming from this convergence
  • What businesses can do to bring people and platforms together
  • How the convergence of IT and OT changes key skills, roles, and responsibilities
  • Key considerations for systems integrators
  • How IT/OT convergence will play a role in the metaverse
  • The best way to approach IT/OT convergence in your organization

Related Content To learn more, read IT-OT Convergence: A Growing Opportunity for System Integrators. For the latest innovations from Intel and IDC, follow them on Twitter at @IDC and @Inteliot or on LinkedIn at IDC and Intel-Internet-of-Things.

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Do you have the right tools, budgets, and expertise in place to take advantage of all the IoT world has to offer? Probably not. Most businesses are dealing with constrained budgets, limited resources, and a small staff. But that can be extremely troubling in today’s modern and digital landscape as customers demand better, faster, and more advanced solutions and services.

Luckily, you don’t have to do it alone. There are multiple different partnerships and programs out there to help put IoT businesses on a successful path. Take Tech Data’s Better Together strategic alliance as an example. The company partnered with Intel® and Microsoft to leverage their unique knowledge and experience to create seamless end-to-end IoT solutions and improve business outcomes.

If you’re looking to learn more about how IoT partners can help you, what to look for in a partner, and the whole IoT solution provider ecosystem, then this podcast is for you.

Join us as we explore these ideas with:
Evan Unrue, European Chief Technologist for Data and IoT at Tech Data EMEA
Kenton Williston, Editor-in-Chief at insight.tech

Evan answers our questions about:

  • What drives enterprises to move toward IoT
  • How successful companies have been at deploying this technology
  • Easing the barrier of entry
  • Solutions and use cases that support IoT development
  • Tech Data’s Better Together Alliance with Microsoft and Intel®
  • The value of IoT solutions aggregators
  • What IoT businesses should think about moving forward
  • Overcoming the biggest IoT business challenges

Related Content For the latest innovations from Tech Data, follow it on Twitter at @TechDataEurope and LinkedIn at TDSYNNEX.

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Attendance for in-person events was already on the decline well before 2020, and it’s not hard to see why. When you are forced to spend valuable time waiting in long lines just to get into an event, get food, or even go to the bathroom, it’s hard to justify the costs.

On top of that, people don’t want to deal with crowds anymore. And venues are having a hard time trying to figure out how to manage everyone and enforce rules like social distancing. What if there was a way for venue operators to see in real time what was happening on the event floor so they could open more food stands, direct people to shorter bathroom lines, and streamline the flow of people?

In this podcast, we talk to PMY Group about the idea of smart stadiums and what it means for the event experience as well as the event technology and partnerships that go into making this a success.

Join us as we explore these ideas with:
Joe Costanzo, Chief Technology Officer for PMY Group
Kenton Williston, Editor-in-Chief for insight.tech

Joe answers our questions about:

  • Key challenges with in-person events today
  • How event technology is deployed within venues
  • Improving event experiences with AI and computer vision
  • Gaining full insights into the venue and its operations
  • Real-world examples of smart stadiums
  • Use of complex technology at temporary pop-up venues
  • Leveraging existing venue and event technology
  • KPIs that businesses should think about
  • How data can uncover new opportunities

Related Content To learn more about transforming event experiences, read AI Innovations Are a Winner for Tennis. For the latest innovations from PMY Group, follow them on LinkedIn at PMYGroup.

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Compared to the automotive and aviation industries, railways can seem rather antiquated. But trains are actually vitally important for modern digital infrastructure.

Rail systems can provide high-speed Internet connectivity to rural areas. They can help cut carbon emissions. And they can provide a surprising array of services to local communities.

Take the Marsden train station in West Yorkshire as an example. When an impending disaster was expected to hit this area, companies like Cisco and Network Rail Telecom (NRT) teamed up to leverage government-owned fiber running through the station and third-party radios to provide communications and connectivity to the community. The UK National Health Service was then able to set up telehealth pods for remote consultations, testing, and diagnosis. And that’s only one way rail technology is used for the greater good.

In this podcast, we examine all the opportunities rail technology offers, smart rail benefits for both employees and passengers, and ongoing collaborations to improve rail operations and management.

Join us as we explore these ideas with:
Greg Butler, Industry Lead for Rail for Cisco
Simon Atterwell, Managing Director of Network Rail Telecom
Kenton Williston, Editor-in-Chief for insight.tech

Podcast Topics Greg and Simon answer our questions about:

  • Biggest transformations in the rail industry
  • How technology can meet new demands
  • Importance of agile development and collaboration
  • Rail technology benefits for both passengers and staff
  • Smart rail possibilities from working with partners
  • Using rail technology to reach carbon-neutral goals
  • What global peers can learn from NRT and Cisco

Related Content For the latest innovations from Cisco and NRT, follow them on Twitter at @Cisco and @NetworkRail, and on LinkedIn at Cisco and Network-Rail.

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Attendance for in-person events was already on the decline well before 2020, and it’s not hard to see why. When you are forced to spend valuable time waiting in long lines just to get into an event, get food, or even go to the bathroom, it’s hard to justify the costs.

On top of that, people don’t want to deal with crowds anymore. And venues are having a hard time trying to figure out how to manage everyone and enforce rules like social distancing. What if there was a way for venue operators to see in real time what was happening on the event floor so they could open more food stands, direct people to shorter bathroom lines, and streamline the flow of people?

In this podcast, we talk to PMY Group about the smart-stadium event technology it used to power SoFi Stadium—which just hosted the Super Bowl. We explore new possibilities for event experiences as well as partnerships that go into making smart venues a success.

Join us as we explore these ideas with: Joe Costanzo, Chief Technology Officer for PMY Group Kenton Williston, Editor-in-Chief for insight.tech

Joe answers our questions about:

  • Key challenges with in-person events today
  • How event technology is deployed within venues
  • Improving event experiences with AI and computer vision
  • Gaining full insights into the venue and its operations
  • Real-world examples of smart stadiums
  • Use of complex technology at temporary pop-up venues
  • Leveraging existing venue and event technology
  • KPIs that businesses should think about
  • How data can uncover new opportunities

Related Content To learn more about transforming event experiences, read AI Innovations Are a Winner for Tennis. For the latest innovations from PMY Group, follow them on LinkedIn at PMYGroup.

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During the pandemic, many companies failed because they could not adapt—but others found incredible success by pivoting to new business models. And this trend is likely to continue, as the retail and hospitality sector remains unpredictable. (Just look at the supply chain issues!) Digital transformation is a key factor in separating the winners from the losers. Businesses that make data an integral part of their physical operations gain the flexibility to make rapid changes. But many stores and restaurants don’t have a way to do this with their current tools.

That is where the power of edge-to-cloud architecture comes into play. In this podcast, we talk about what it means to be a physical retail space in today’s digital world, the changing customer expectations and how to address them, and how edge + cloud can power smart retail omnichannel experiences.

Join us as we explore these ideas with:
Richard Newman, Chief Technology Officer and Co-Founder of Reliant
Kenton Williston, Editor-in-Chief for insight.tech

Richard answers our questions about

  • The evolution of the retail space and customer expectations
  • The move toward cloud-based and edge architectures
  • How retailers should rethink their physical spaces
  • The importance of flexible IT hardware
  • How to overcome resistance to change
  • The importance of transforming physical spaces
  • Navigating around the technical complexity of edge-based systems
  • How technology addresses supply chain issues
  • New and better omnichannel retail experiences
  • Where retailers can get started on their journey

Related Content To learn more about edge and cloud retail experiences, read Edge + Cloud = Advanced Retail Operations. For the latest innovations from Reliant, follow them on Twitter at @reliantio and on LinkedIn at Reliantdotio.

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Smart cities are nice, but what about smart communities?

By focusing on people who live in cities, the same technology could be used to transform public spaces and improve daily lives. For instance, warnings could be sent to oncoming vehicles about pedestrians in the crosswalk. Or pedestrians could be alerted to vehicles approaching at high speed. Parents could even have peace of mind knowing their local park is protected with real-time monitoring.

With the right technology partner, there are so many opportunities to make communities safer, smarter, and more connected. In this podcast, we explore what a smart community encompasses, the benefits for both citizens and cities, and the technology partnerships that go into making this all possible.

Join us as we explore these ideas with:
Ken Mills, Chief Executive Officer for IntelliSite
Justin Christiansen, General Manager of IoT Platform & Solution Sales at Intel®Kenton Williston, Editor-in-Chief for insight.tech

Ken and Justin answer our questions about:

  • Smart communities versus smart cities
  • What a smart community philosophy looks like in practice
  • Where AI and IoT fit together in smart spaces
  • Smart community use cases and trends
  • How to provide valuable data to the community
  • Technology evolutions making smart spaces possible
  • Safer, Smarter, Connected Communities as a Service
  • What communities should look for in a technology partner
  • Smart-space considerations for 2022

Related Content For the latest innovations from IntelliSite, follow them on Twitter at @IntelliSiteIoT and on LinkedIn at IntelliSiteIoT.

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With the recent allocation to enterprises of more spectrum, private 5G is rapidly making inroads in industries like manufacturing. The engineering company EXOR International is just one example of this, as it is using 5G spectrum to capitalize on the benefits of Industry 4.0—enabling engineers to quickly collaborate, experiment, test, and deploy new technology.

Wondering how you and your industry can benefit? Listen to this podcast, as we explore the use cases for private 5G networks, the role of cloud providers like Amazon Web Services, Google, and Microsoft, and ways to incorporate 5G into existing networks with solutions from companies like Cisco, Dell, HP, and IBM.

Join us as we explore these ideas with:
Richard Webb, Director of Network Infrastructure at CCS Insight
Kenton Williston, Editor-in-Chief for insight.tech

Richard answers our questions about:

  • The trend toward private 5G networks
  • Different 5G use cases
  • Wi-Fi 6 versus 5G
  • How organizations can implement private 5G networks
  • The role of cloud providers in private 5G
  • Where enterprise solution providers fit in
  • Enterprise network technology providers in a 5G/Wi-Fi world
  • What private 5G looks like in practice

Related Content To learn more about the future of private 5G, read ​​Challenges and Requirements of the Private 5G Network Market. For the latest innovations from CCS Insight, follow them on Twitter at @CCSInsight and on LinkedIn at CCS-Insight.

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The 12th Generation of Intel® Core™ processors come packed with revolutionary features guaranteed to transform the Internet of Things. In this podcast episode, we explore the most exciting new IoT features, why they matter, and how ASRock Industrial and its customers are already leveraging the new processors.

Join us as we explore these ideas with:
Kenny Chang, Vice President of System Product BU at ASRock Industrial
Kenton Williston, Editor-in-Chief for insight.tech

Kenny answers our questions about:

  • The most exciting features of the 12th Gen Intel® Core™ processors
  • Why this release has the potential to revolutionize IoT applications
  • How companies can benefit from the processors GPU upgrade
  • The software capabilities of the new core processors
  • How ASRock is helping customers quickly take advantage of these new features
  • The power of Intel® to deliver and support development efforts
  • How companies are already using the latest Intel® Core™ processors
  • The importance of the new hardware security features

Related Content To learn more about the 12th Gen Intel® Core™ Desktop and Mobile processors, read CES 2022: Intel® Launches Revolutionary CPU Architecture and follow them on LinkedIn at ASRock-Industrial.

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What can we expect from the IoT world in 2022? If the past two years taught us anything, it is that we cannot prepare for everything. But some trends and technologies can help guide our way.

In this podcast, we talk about lessons learned in 2021, IoT technology trends to pay attention to in 2022, and how the IoT landscape will continue to evolve beyond next year.

Join us as we explore these ideas with:
Martin Garner, COO and Head of IoT research for CCS Insight
Kenton Williston, Editor-in-Chief for insight.tech

Topics discussed include:

  • CCS Insight predictions in 2021: What went wrong and what went right
  • Technology trends and predictions for 2022
  • How the role of cloud players will evolve moving forward
  • Where cloud-like experiences in on-premises infrastructure will fit into the landscape
  • Where AI, machine learning, and computer vision are going in the future
  • Efforts and impacts of democratizing AI
  • How to address AI concerns
  • Ongoing transformation of the healthcare industry
  • The future of IoT and the intelligence of things

To learn more about the future of IoT, read CCS Insight’s IoT predictions for 2022.

For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn at CCS-Insight.

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In this podcast, we explore how companies can deploy computer vision with their existing staff—no expensive hiring or extensive training required. We explain how to democratize AI so non-experts can use it, the possibilities that come from making AI more accessible, and unexpected ways AI transforms a range of industries.

Join us as we explore these ideas with:
Elizabeth Spears, Co-Founder and Chief Product Officer of Plainsight,
Bridget Martin, Director of Industrial AI & Analytics of the Internet of Things Group at Intel®
Kenton Williston, Editor-in-Chief for insight.tech

Elizabeth and Bridget answer our questions about:

  • Why Plainsight rebranded from their original company of Sixgill
  • The rapid evolution of AI and computer vision
  • The exciting use cases coming from advancements of AI
  • How democratizing AI is helping transform unlikely industries
  • The biggest challenges industries face when adopting AI
  • Ways that organizations without data scientists can take advantage of advancements in AI
  • The benefits of democratizing AI
  • The future of new opportunities for AI
  • Best places to get started to learn about AI

Related Content To learn more about the future of democratizing AI, read Build ML Models with a No-Code Platform. For the latest innovations from Plainsight, follow them on Twitter at @PlainsightAI and on LinkedIn at Plainsight.

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Would you believe that virtual care can be superior to face-to-face care? Beyond the convenience of being able to receive care from the comfort of your own home, virtual care is giving doctors access to the right data at the right time.

But it requires major changes to healthcare’s current infrastructure as well as tighter integration between in-person care. In this podcast, we explore how virtual care can go beyond the technology, why integration matters, and how the right partnership can make a world of difference for the healthcare industry.

Join us as we explore these ideas with:
Dr. Richard Bakalar, Chief Strategy Officer of ViTel Net
Kenton Williston, Editor-in-Chief for insight.tech

Topics discussed include:

  • Lessons he learned throughout his long history with telemedicine
  • How to best integrate telemedicine into healthcare
  • What a good virtual care experience looks like for patients
  • Why patient context matters
  • The challenges with integration and collaboration in the healthcare space
  • How electronic health records need to transform
  • What ViTel Net is doing to address healthcare silos
  • The role of AI and machine learning in providing better data
  • What healthcare providers should be looking for in a telehealth provider
  • How to set up telehealth for success

To learn more about the future of telehealth, read Telehealth Is the Future of Care, and the Future Is Now. For the latest innovations from ViTel Net, follow them on Twitter at @ViTelNet and on LinkedIn at ViTel Net.

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Video safety and security is being used to prevent traffic jams, improve customer experience, monitor elderly family members, and even help battle gambling addictions. But, as an industry, we must ensure citizens and users are comfortable with the use of video surveillance.

In this podcast episode, we uncover how video technology can be used for good, how new video applications are transforming industries, and the responsibility of system integrators.

Join us as we explore these ideas with:
Thomas Jensen, CEO of Milestone Systems
Kenton Williston, Editor-in-Chief for insight.tech

Topics discussed include:

  • Why video technology needs a human-first approach
  • The responsibility of system integrators and video technology resellers
  • New opportunities and areas of improvement for system integrators
  • How Milestone is helping SIs succeed
  • The value of video surveillance technology partners
  • How to identify a good technology partner
  • New and unexpected ways video technology is being applied
  • Ways Milestone is working to futureproof current technologies
  • The future of video technology and its role in society

To learn more about the future of video surveillance technology, read Safety and Security Trends: How SIs Succeed.

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Now that the rush to adopt telehealth platforms is over, healthcare providers have a new opportunity to unlock the full benefits of virtual care.

In this podcast episode, we learn more about virtual care’s ongoing evolution, how telehealth platforms are providing better access to care around the globe, and the new and unexpected applications coming to the forefront.

Join us as we explore these ideas with:
Yulun Wang, Distinguished Fellow at Teladoc Health
Kenton Williston, Editor-in-Chief for insight.tech

Topics discussed include:

  • How telehealth is evolving beyond the pandemic
  • The value of virtual care for mental health
  • New opportunities and areas of improvement for healthcare providers
  • Teladoc’s answer to healthcare technology challenges
  • The broader implications of digital health
  • What’s next for the digital healthcare space
  • The impact of virtual care technology on healthcare professionals
  • Bringing healthcare to rural areas
  • The future of digital health

To learn more about the future of digital healthcare, read Telemedicine: The Future of Health Tech Is Here Today.

For the latest innovations from Teladoc, follow them on Twitter at @Teladoc and on LinkedIn at Teladoc Health.

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There are endless federal, state, and local rules and requirements to safeguard water quality. These regulations are often complex and inhibit a water utility’s ability to innovate.

Water utilities are struggling to innovate due to an endless number of federal, state, and local requirements they must adhere to. On top of that, they face a shortage of water supply, changing climate challenges, and a lack of funding. Access to clean data and analytics is necessary to transform the water supply chain and overcome these increasing obstacles.

In this podcast, we talk about the challenges utilities face, what decisions they are making, and how to improve the water supply management systems.

Join us as we explore these ideas with:
Dr. Alison Adams CTO at INTERA.
Christina Cardoza, Senior Editor for insight.tech

Topics discussed include:

  • Water supply management challenges and trends
  • How to overcome aging infrastructure
  • Where digital transformation starts
  • The importance of data analytics
  • Tools and technology that can help
  • Governmental rules and regulations standing in the way
  • Resiliency versus sustainability
  • The future of the water utility industry

To learn more about the ongoing changes among water utility companies, read IoT Adoption Takes a Culture Shift.

For the latest innovations from INTERA, follow them on LinkedIn at INTERA.

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The term digital transformation has been widely misused and misunderstood in the manufacturing space, resulting in a lot of failed projects. A successful manufacturing digital transformation effort starts small and grows from there.

In this podcast episode, we uncover what’s behind successful digital transformation initiatives, how tools and technologies can help, and the common pitfalls to avoid.

Join us as we explore these ideas with:

Bryan DeBois, Director of Industrial AI at RoviSys

Kenton Williston, Editor-in-Chief, insight.tech

Topics discussed include:

  • What digital transformation means for manufacturers
  • The benefits manufacturers are looking to achieve
  • The state of digital transformation in the industry
  • How to successfully embark on a digital transformation journey
  • Where artificial intelligence comes into play
  • How to get all stakeholders aligned
  • The role technology plays in digital transformation

To learn more about the digitalization of manufacturing, read Demystifying Digital Transformation for Manufacturers.

For the latest innovations from RoviSys, follow it at Twitter at @RoviSys and on LinkedIn at RoviSys.

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IoT solutions are being put on the fast track, but rising complexity is making successful deployment harder than ever.

In this podcast, we talk about the key pain points of IoT development, the importance of having a developer-friendly platform, and how to address IoT interoperability challenges.

Join us as we explore these ideas with:

Pete Bernard, Senior Director of Silicon and Telecom, and Azure Edge Devices, Platform and Services Group, Microsoft

Kenton Williston, Editor-in-Chief, insight.tech

Topics discussed include:

  • The major trends and challenges of IoT development
  • The rise of intensive workloads and the role of edge computing
  • How the pandemic has changed IoT app considerations
  • Why being IoT developer friendly matters
  • The pain points of IoT interoperability
  • How Microsoft is trying to reduce IoT friction
  • The types of skillsets and resources organizations need to have
  • A look at medium to long-term IoT priorities
  • How to make the life of an IoT developer easier

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5G is giving a boost to manufacturer’s digital and IoT journeys by eliminating the need for wired connectivity on the shop floor. But it relies on the speed and low latency capabilities from the edge to do so. Together the two are powering the future of IoT.

In this podcast episode, we explore the challenges facing the manufacturing industry today with the rise of IoT, the importance of 5G and edge to address those challenges, and what’s next for 5G and manufacturing.

Join us as we explore these ideas with:

Philippe Ravix, Global Digital Manufacturing Solution Architect, Capgemini

Kenton Williston, Editor-in-Chief, insight.tech

Topics discussed include:

  • The evolution of the manufacturing space since the advent of IoT
  • The biggest challenges with growing and scaling IoT initiatives
  • How 5G will play a role in manufacturing’s future
  • The importance of edge architectures
  • Complexities manufacturers are dealing with today
  • Successfully deploying 5G and edge computing

To learn more about this topic, read People, Technology Power Machine Uptime. For the latest innovations from Capgemini, follow them on Twitter at @Capgemini and LinkedIn at Capgemini.

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Want to address inequality? Help students with special needs? Support hard-working teachers? Technology can make it happen!

EdTech can help schools modernize the learning experience, reduce workloads, and better support their students. But it requires more than just the latest and greatest technology.

Listen to this podcast to learn how to get started with EdTech, where it fits in school budgets, and how it can elevate the overall educational experience.

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Would you believe that in-store shopping is more important than ever? While shoppers flocked to e-commerce sites at the beginning of the pandemic, traffic to physical stores is already back above 2019 levels.

The benefit of online shopping over in-store shopping has been its ability to provide rich information and details about products and consumers, but that’s all changing. Leveraging new technologies like computer vision and IoT, physical retailers can provide the same level of product detail as ecommerce while shining a light on how consumers are interacting and engaging with brands. 

Join us as we explore these ideas with:

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The pandemic forced healthcare to transform overnight—and now that patients and providers are comfortable with telehealth and other high-tech services, the demand for innovation will continue.

In this podcast episode, we explore the lessons learned early in the pandemic, new expectations for the healthcare industry, how digital innovations are benefitting not only patients but caregivers, and how organizations can manage and understand the wealth of health data now available their fingertips.

Join us as we explore these ideas with:

Peter Shen, Vice President of Innovation and Digital Business at Siemens Healthineers

Kenton Williston, Editor-in-Chief, insight.tech

Topics discussed include:

(2:36) What key advancements he saw being applied during the pandemic

(7:57) The role of emerging technologies like AI and edge computing

(10:02) The ongoing evolution of the healthcare industry

(13:08) What Siemens Healthineers is doing to create a more standardized ecosystem

(25:12) How wearables can help provide a more personalized healthcare experience

(28:18) What the future of healthcare digitization looks like, and how to prepare

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In a conversation with ABB, we examine the rapidly evolving demands of energy management and distribution—and the burdens they put on the smart grid.

The discussion delves into how the modern power grid, which leverages digital innovations, can provide more resilient, sustainable, and secure energy distribution.

Join us as we explore these ideas with:

Jani Valteri, a technology center manager with ABB

Kenton Williston, Editor-in-Chief, insight.tech

Topics discussed include:

(01:37) The continuing evolution of the power grid

(11:25) The role of substations in advancing the grid

(13:48) Thwarting cyber threats with a layered approach

(16:33) The value of technology partnerships and customer collaboration

(29:54) How to make the transition smooth and reliable

(35:39) How the modern grid can reduce our carbon footprint

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M3t, MeldCX, and Pyramid join us a look at the rapidly-evolving world of kiosks. After COVID-19 forced a massive surge in demand for self-service, what lessons can businesses carry forward? And where is the technology headed next?

Join us as we explore these questions with:

  • Dylan Waddle, Chief Operating Officer, M3 Techology Solutions (M3t)
  • Stephen Borg, Group Chief Executive Officer, meldCX
  • David Frei, Vice President of Strategic Partnerships Pyramid Computer
  • Kenton Williston, Editor-in-Chief, insight.tech

Topics discussed include:

  • Why kiosks have become a critical technology for retailers, banks, and the hospitality industry
  • How kiosks are offering a superior customer experience with innovative new interfaces
  • How AI and machine learning are changing kiosks
  • How businesses can get maximum benefit from kiosks

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A majority of manufacturers in the United States still rely on manual inspections for sorting, tracking and inspecting items. But these efforts are prone to error, resulting in high rework, downtime and unsatisfied customers.

Just us in a conservation with Kemal Levi, Founder and CEO of Relimetrics, as we discuss ways to digitize and automate the QA process. You will learn:

  • The challenges facing QA manufacturing teams today
  • How AI is being implemented to address the changing landscape
  • How the data capture from QA automation can be used to improve efficiency
  • What the future of QA automation looks like and how to prepare

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Did you know that up to 75% of IoT projects fail to meet their goals? Sounds scary, but once you know a few of the industry secrets, you can join the successful group.

Join us in a conversation with Amol Ajgaonkar, CTO for Intelligent Edge at Insight Technologies, as we dig into seven ways you can establish a solid path to success. You will learn:

  • Why it’s essential to have a holistic vision, from the edge to the cloud
  • How having stakeholder buy-in in before you start can lead to success
  • What a plan for managing and maintaining all these systems over time looks like
  • How to best make use of your existing infrastructure

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How can remote and on-site colleagues stay connected as teams? What will offices look like going forward? How do organizations need to rethink their physical and tech infrastructure?

Join us as we discuss these questions with Andrew Gross, VP for Enterprise Unified Communications at Crestron, and Wei Oania, General Manager of Education and Collaboration for the Intel IoT Group. You will learn:

  • How to accommodate new work habits like hot-desking
  • Why all team members need a first-class experience regardless of location
  • What a successful collaboration strategy looks like, with real-world examples
  • How to build a conference room for the realities of Zoom and Teams in 2021

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Think machine vision is powerful? Wait until you see what time-series AI can do! Ideal for analyzing non-optical data such as voltage and temperature signals, time-series AI is poised to play an outsize role in the factory of the future.

In this podcast, we explore the possibilities with Dr. Felizitas Heilmann, Head of Product Line for Embedded Industrial Computing at Siemens. Join us as we discuss:

  • The most promising applications for time-series AI
  • How to deploy this new technology into legacy infrastructure
  • How systems integrators and machine builders can successfully deploy time-series AI

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The 3rd Gen Intel® Xeon® Scalable processors—formerly known as Ice Lake—offers major AI, security, I/O, and memory upgrades. What does this mean for the IoT space?

In this podcast we explore the possibilities with tech expert Dr. Sally Eaves and with Yazz Krzalic, Director of Marketing and Business Development at Trenton Systems. Get answers to the big questions like:

  • Which features of the 3rd Gen Intel® Xeon® Scalable processors matter for IoT applications
  • How to use tools like Intel® oneAPI and Intel® OpenVINO™ to accelerate development on Ice Lake
  • What’s trending in retail, transportation, hospitality, and education

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From retail stores to vacation resorts, people are making their way back to public spaces. But we need to feel protected in doing so. AI-powered visual displays can give your customers a confident experience while enhancing business ROI at the same time—without breaking the bank.

In this podcast we explore the possibilities with Beabloo, a developer of solutions that personalize the customer experience. In our conversation with Jaume Portell, co-founder and CEO of Beabloo, we explore:

  • How to create spaces that are both safe and inviting
  • Ways to drive revenue through customer demographics analytics
  • What’s trending in retail, transportation, hospitality, and education

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Turning digital transformation initiatives into new business opportunities is the IoT North Star for many systems integrators. What if you could deliver holistic end-to-end solutions—from proof of concept to final deployment—without huge investments? One approach is working with a partner who does the heavy lifting for you.

In this podcast we explore the possibilities with Ingram Micro, a global IoT solutions aggregator supporting SIs, ISVs, and OEMs. Listen in as Savio Lee, Senior Business Leader for Digital Transformation, talks to insight.tech Editor-in-Chief Kenton Williston about:

  • How to accelerate digital transformation by taking an architectural approach
  • Where SIs can fast-track their IoT practice with minimal investments
  • Why thinking big and starting small delivers customer ROI more quickly

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For most IoT systems integrators and resellers, revenue is driven by sales and installation of new equipment. But what if you could move from a CapEx model to an OpEx model? And what if you could rely on partners to keep your tech stack up to date?

In this podcast we explore the possibilities with BlueStar, a global distributor supporting SIs, VARs, and MSPs. Hear it all in the conversation with Mark Fraker, VP of Marketing; Dean Reverman, Global Marketing Manager; and Kenton Williston, Editor-in-Chief of insight.tech.

We explore:

  • Where the biggest opportunities are for SIs in the coming months
  • How SIs can get to market faster with the latest tech
  • Why new financing models are the key to recurring revenue

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Where is digital signage heading in 2021? How can SIs pivot to new markets quickly and on a budget? And what’s the best way to scale up while future-proofing your systems?

All this and more are covered in this conversation between Kevin Cosbey, a business development representative with Seneca, and Kenton Williston, Editor-in-Chief of insight.tech. Kevin explains how SIs can set themselves up for success both now and for the long term.

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With embedded world 2021 going all-digital, it’s easier than ever to discover the latest in AI and advanced programming techniques. But which conference sessions should you attend?

We put that question to multitalented IoT and AI expert Dr. Sally Eaves. Listen in as she talks with insight.tech Editor-in-Chief Kenton Williston about the biggest trends attendees should look for at the event. You’ll discover how to get the most out of the show in this info-packed preview!

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What’s the best way to protect valuable infrastructure in the long term? What is the role of device authentication in IoT security? How can you retrofit legacy systems with the latest safeguards?

Find answers in this conversation between Louis Parks, the Chairman, CEO, and co-founder of Veridify, and Kenton Williston, Editor-in-Chief of insight.tech. Louis explains how his experience with quantum-resistant, public-key security tools for IoT security has given him a new perspective on the threats facing building automation and industry 4.0.

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What’s next for digital out-of-home (DOOH) advertising? Where does digital signage fit in new retail models like curbside delivery? And how can systems integrators convince their customers to invest in new tech when budgets are tight?

Find answers in this conversation between Laetitia Lim, CEO of Quividi, and Kenton Williston, Editor-in-Chief of insight.tech. As a pioneer in campaign intelligence for digital signage, Laetitia has deep insights on the ways SIs can prove their value with a low-cost, low-risk proof of concept (POC).

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What’s next for AI and its cousins, deep learning (DL) and machine learning (ML)?

Join us for a look ahead in the conversation between Ray Lo, an OpenVINO
evangelist at Intel, and Kenton Williston, Editor-in-Chief of insight.tech.

We explore up-and-coming applications like natural language processing (NLP), ways developers can strengthen their skill in AI, ML, and DL, and tips for creating ethical AI applications.

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What happens when you combine edge AI with metadata analysis in the cloud? That’s the question we explore in this conversation between Chetan Gagil from the Edge AI team at Intel, Lerry Wilson from Splunk, and Kenton Williston, Editor-in-Chief of insight.tech.
You’ll discover how Big Data uses video analytics to answer complex questions and reveal hidden patterns. And you’ll learn the best practices for deploying these systems quickly.

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2020 was a tough year, but systems integrators have new opportunities ahead. Listen in for new ideas on rapid tech adoption, business agility, and industry team-ups that will put you ahead of the pack.

All this and more is covered in this conversation between Tom Digsby, Senior Manager of the IoT and Data Solutions Group at Tech Data, and Kenton Williston, Editor-in-Chief of insight.tech.

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The Intel Atom® x6000E series and 11th Gen Intel® Core™ processors are packed with new features for edge applications. From completely reworked I/O to massively upgraded graphics engines, there is something for nearly every embedded and IoT application.

Join this in-depth review of the new CPUs in this conversation between Christian Eder, Director of Marketing at Congatec, and Kenton Williston, Editor-in-Chief of insight.tech.

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The pandemic upended shopping, and stores need new retail tech to adapt. And it’s not just about new services like online order/in-store pickup. Merchants also need to optimize their operations while reducing interpersonal contact.

Hear how leading retailers are addressing the new challenges and opportunities in this conversation between Stephanie Beer, Director of Product and Channel Marketing at Toshiba, and Kenton Williston, Editor-in-Chief of insight.tech.

Note: This episode is sponsored by Toshiba.

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Security systems have new roles to play in keeping us safe and healthy. Guarding against intruders and theft is just the start. Today’s security systems need to watch for fevers, monitor social distancing, track mask usage, and more.

Hear how you can deploy these capabilities on existing video systems with the latest in video AI in this conversation between Bruce Montgomery and Sheeladitya Karmakar from Honeywell and Kenton Williston, Editor-in-Chief of insight.tech.

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The pandemic has thrown supply chains and customer demand into chaos, and only the most agile manufacturers will be able to adapt.
Discover how you can accelerate your digital transformation with 5G, AI, and IoT technologies in this conversation between industry expert Kevin Jackson and Kenton Williston, Editor-in-Chief of insight.tech.

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The pandemic has accelerated the evolution of the physical security, creating new demand for cloud services, cybersecurity, and IoT technologies.
Discover how systems integrators can grow and adapt in this conversation between Tim Brooks, VP of Sales and Vendor Management with the PSA Security Network, and Kenton Williston, Editor-in-Chief of insight.tech.

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Post-pandemic, how can retailers keep frontline workers healthy? What does collaboration look like now?
Discover the new role for connected worker technology in this conversation between Alan Jezek, Chief Revenue Officer at Theatro Labs, and Kenton Williston, Editor-in-Chief of insight.tech.

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The same machine monitoring technology used in race cars is now available for everyday industrial applications. That’s good news—it turns out that there are surprising similarities between 800 HP engines and manufacturing lines.

Find out how factories can benefit from NASCAR tech—and how to deploy your own AI—in this conversation between Joe Speed, Field CTO for Global Partners at ADLINK Technology, and Kenton Williston, Editor-in-Chief of insight.tech.

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Interactive technology is transforming everything from high-end fashion to consumer packaged goods (CPG). Find out why computer vision is the key to meaningful customer engagements in this conversation between Trevor Sumner, CEO of Perch, and Kenton Williston, Editor-in-Chief of insight.tech.

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Industrial environments are tough on vision hardware.

To ensure reliability, you must design for low power. But what does that mean for performance and cost?

Find out in this conversation between Johnny Chen, Solutions Architect at OnLogic, and Kenton Williston, Editor-in-Chief of insight.tech