SpringML delivers data-driven digital transformation outcomes with an experimentation and design thinking mindset. We are a Google Cloud and Salesforce partner with capabilities to plan, assess, deploy, and manage data-driven engagements to help our customers get value from their data and accelerate the adoption of ML and AI.
In the Gov Reimagined podcast, we discuss how SpringML helped OESC leverage AI, ML, and powerful visualization tools of Google Cloud to reduce improper payments. We also talk about the perspectives of understanding the data.
Check out this podcast hosted by James Hanson, group publisher for Federal and Technology Markets at GovExec, along with the special guests, Arun Natarajan, director of Cloud & Platform Partners for SpringML, Denise Winkler, strategic business executive for Global Public Sector at Google Cloud, and Shelley Zumwalt, CEO and Executive Director at OESC.
In this Dreamforce recap podcast, Matt Wittlief, Robert Anderson, Kyle Thomas, Ian Hagerman, Deniz Cakmak, and Bret Wilson from SpringML throw light on AI powering the marketing handoff to sales while enabling the best-qualified leads and opportunities that empower small businesses as well. We also discuss how the utilization of Tableau, Tableau CRM ecosystems, Einstein discovery, Tableau notifications, and dashboards in Slack help mature the businesses while the non-CRM version processes the output into Slack.
Governments can uncover very useful insights when data is shared across agencies. But this can be a difficult task. Hint: The challenge isn’t the tech. In this episode, we unpack some common data-sharing challenges and remedies. We also share two inspiring examples of how data sharing has improved government services.
Example 1: Virginia Vaccine Management and Allocation Exchange (VaxMaX) - Hear out data-sharing helped combat COVID-19.
Example 2: Utah’s Social Service Blueprint Solution - Utah was able to improve the effectiveness of five key social service programs by sharing data. There’s even a publicly available MOU for reference.
You might also like to hear the complete story of Utah’s Blueprint Solution in this video with Rachel Stone, Chief Data Officer from Utah GOPB, and Eric Clark from SpringML.
Some key considerations for your data sharing project:
1) Get started on MOU’s early and build clear support for the cause of data sharing
2) Use data classification smartly to build generalized MOUs to allow easier sharing of non-sensitive shareable data
3) Central IT should support the business needs and help pave the way for easier cross-agency data sharing with strong governance, data catalogs, and analytics technology that can be used across the state.
Government is full of documents and forms. Some forms are tied to very important services, such as financial aid for those that have been victims of violent crimes. Documents also contain a lot of data and intelligence. Believe it or not there are still a lot of paper vaults out there with physical indexing.
In this episode, we’ll explore how government can use Doc AI to:
Try it yourself! Go to https://cloud.google.com/document-ai/docs/drag-and-drop
If you’d like a demo or to talk to someone about implementing this technology, please reach out to here.
In this first episode of our Smart Government podcast series, we talk to Andrew Larimer, Practice Manager at SpringML. Andrew explains how some of the Vision AI use cases like pothole detection, combating urban blight, etc. help governments improve the quality of life for their citizens. He also addresses the challenges that may arise with the Machine learning models while working with raw, real-time data.
In this episode, we are speaking to Ian Hagerman, Senior Analytics Consultant at SpringML. Ian outlines the strengths and weaknesses between Tableau and Tableau CRM and when one should consider leveraging both of these best in class tools. He also provides advice on what key skill sets can help you unlock your value as an analytics professional.
In this episode, Phil Cooper, Vice President of Product, Salesforce explains how Salesforce and Tableau bring a different perspective by leveraging data science and machine learning for the end user in the CRM workflow. He also talks about the factors that come into the picture while carving out a product and acquisition strategy through an example of TableauCRM. Find out how Salesforce imbibes machine learning into their product features to make the user experience seamless.
In this episode, we are speaking to Deniz Çakmak, Senior Analytics Consultant at SpringML. Deniz talks about the business challenges he sees with his customers and how machine learning is helping solve those problems. He explains what customers need to focus on and how they should adjust to solve their business problems. Aligning your current strategy with long term goals with Deniz Çakmak| Senior Analytics Consultant at SpringML.
In this episode, we are speaking to Marco Casalaina, Senior Vice President of Product Management at Salesforce. Marco explains how the future of Artificial Intelligence is invisible and mundane through our daily use cases. He also shares the process behind how Salesforce is working to make the businesses efficient by intersecting AI and Automation.
In this podcast, Google Cloud’s Chris Haas, SpringML’s Sindhu Adini and Washington University in St. Louis’s Dr. Philip R.O. Payne discuss how a data-driven approach can help drive efficient campus reopening solutions for student and faculty wellness.
Listen to this podcast to hear insights on:
SpringML knows exactly which tools can accelerate progress and solve complex data problems. One such technology is Google Cloud Dataprep by Trifacta, a cloud data preparation service on Google Cloud Platform (GCP). Cloud Dataprep allows users to explore, clean, and prepare data for analysis and machine learning through an intelligent and visual interface – no coding required.
In this podcast, Eric Clark, Program Manager at SpringML, and Brian Shealey, Vice President of Public Sector at Trifacta, discuss how the service is used across many of its clients and how you can use Cloud Dataprep in your own organization.
In this episode, we talk with Michael Sloan, Vice President, UPS Global Sales Operations & Governance. Michael shares with us his career journey at UPS and how change management is crucial for the success of a company. Michael talks about the evolution of analytics and most importantly about his favourite automobile analytics use case.
In this episode, we are speaking to Geoff Rothman, Analytics Program Manager at Salesforce. Geoff shares with us his journey at Salesforce and how key learnings of Einstein Analytics gave way to helping businesses transform their business. Geoff shares best practices and tips on making yourself more valuable and promotable as an expert at Salesforce and in the Cloud industry.
Palo Alto, a global cybersecurity leader, making the world a safer place and more secure than the day before.
Join us in the second part of this podcast with Salesforce Trailblazer, David Cohen, VP Analytics as he continues to shares his lessons learned as they enter phase 6 of their 5-year journey with Einstein Analytics. Lots of juicy content from where to start, how to build, manage, and sustain the analytics function, and the value of Einstein in a large global enterprise. Their success with their dashboard ‘Minecraft’ has global adoption and immediate insights. The success is summarized by one leader.
In this fireside chat, SpringML CEO Charles Landry interviews Kirsten Kliphouse, President, North America, Google Cloud.
Kirsten discusses the importance of leading and coaching the Google Cloud and partner sales teams during these difficult times by focusing on the importance of serving (not selling) customers, being empathetic to where customers are in their Cloud journey and providing them industry solutions to help them mitigate negative effects of covid-19 on their business.
Kirsten also explains to Charles the importance of how partners can support Google Cloud through its people and products to extend the reach of Google Cloud and the value it can provide to customers such as when SpringML developed the Safe Travelers App for the State of Hawaii.
Lastly, how Google Cloud is differentiating itself from other Cloud providers with providing customers a multi-cloud option (with Anthos) and embedding AI and Data Analytics solutions into their own product with features such as BigQuery Omni.
How partners can best support Google Cloud - people, partners, products
How will Google Cloud deliver to customer needs and differentiate?
In this podcast episode, Eric Clark, Program Manager, SpringML, talks about how Memphis is tackling potholes using machine learning.
Nielsen, known for its rating systems, is undergoing a major organizational change as it splits its core business units into 2 global, publicly traded companies.
In this jam-packed episode, we cover a multitude of topics from creating and running a Sales Operations function to championing the union of Sales & Marketing departments together around the common growth objectives. In his role as SVP Global Sales Enablement & Marketing, Andrew gives us insight into the 3 pillars for success for an analytics function. He also shares his approach to removing barriers for Sales & Marketing to come together as one, which 3 KPIs are his holy grail, and how to drive change focused on your people, process, and technology, driving to single source of truth across the globe.
Palo Alto, a global cybersecurity leader, make the world a safer place, more secure than the day before.
Join us as we hear from Salesforce Trailblazer, David Cohen, VP Analytics as he shares his lessons learned as they enter phase 6 of their 5-year journey with Einstein Analytics. Lots of juicy content from where to start, how to build, manage, and sustain the analytics function, and the value of Einstein in a larger global enterprise. Their success with their dashboard 'Minecraft' that had both immediate adoption and immediate insights was summarized by one leader - What would have 20 teams and a month to get this data, was produced in just 10 minutes with the power of Einstein Analytics.
Join us in this episode as Darvish Shadvran, Einstein Specialist, explains the history behind Einstein Discovery and how to approach applying data science at scale in your organization. Darvish shares some knowledge that will help build your plans, work together with your data science teams and ideas on where to start with predictions for operational metrics. You'll also hear his story from aspirational Rock Band member to Master Data Scientist.
Join this week's Podcast to hear Salesforce Einstein Product Marketing's Andrew Price's POV on how to ID use cases, the value of Tableau + Einstein better together message, and his favorite use case for analytics, all the way from Australia.
In this SpringML's recorded interview, our CEO Charles Landry talks to Carolee Gearhart, Global Channel Chief & VP of Global SMB Sales at Google, about few questions on the minds of every customer in these crucial time of crises.
In this episode of SpringML’s podcast Vision 2020, we wrap up the conversation with Michael Roseman, OneSource Virtual’s Senior vice president of customer operations and service delivery. Listen in as Michael shares how OSV has leveraged Einstein within service cloud and the secret sauce in the SpringML and OSV partnership.
We are delighted to be visiting with Michael Roseman, OneSource Virtual’s Senior Vice President of customer operations and service delivery. OneSource Virtual is a Professional Services firm that implements and provides managed services to Workday customers. In this episode, Michael shares about OSV and their journey with Service Cloud Einstein and Einstein Predictions.
Today we are visiting with Ram Palanki a solutions architect in SpringML’s Salesforce practice.
Ram specializes in Einstein and Tableau integrations and works with customers on adopting Einstein Analytics and Discovery
During this episode, he shares his favorite use cases and insights and how Einstein and Tableau are helping customers see and understand their data using predictive analytics.
SpringML CTO Girish Reddy interviews Google Cloud's BigQuery product manager, Tino Tereshko. They discuss the BigQuery roadmap and its innovation journey over the last few years. They discuss Presto, Spark and decoupling storage and compute. They chat about the benefits of real-time data input from app to BigQuery and the power of these features for apps like Candy Crush. They discuss the new Reservation feature and the incredible TCO and performance it provides customers and much more.
Book recommendations from Tino:Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale 1st Edition - by Valliappa Lakshmanan Head of Data Analytics and AI Solutions, Google Cloud
All the Light We Cannot See by Anthony Doerr
In this episode of SpringML’s podcast Vision 2020, we are thrilled to be visiting with Masaf Dawood, Director of Cloud Services for SpringML Canada.
He has exciting expansion news and shares and how the public sector is responding to cloud adoption and leveraging Google Cloud to scale up projects in a matter of days providing real-time information for first responders.
Today we are visiting with Nico Johnson-Borreli, a solutions engineer in SpringML’s Salesforce practice. Nico specializes in Einstein and shares his favorite use cases and how to get started with Einstein quickly with several built in features to jump start your Einstein adoption journey.
We are back again with another episode in SpringML’s podcast Vision 2020. Today we are welcoming back SpringML co-founder Prabhu Palanisamy discussing how SpringML is supporting major consumer brands with marketing analytics. Let’s listen in as Prabhu explains channel cannibalization and how Cloud and AI/ML is revolutionizing the ability to address from an analytics perspective.
Now here’s your host SpringML CMO Megan Dahlgren
Today’s episode features an interview with SpringML's Technical Project Manager & Cloud Enthusiast, Eric Clark discussing best practices for public sector projects in AI/ML in 2020
Today we are visiting with SpringML’s Sr. Vice President of Strategic Accounts, Piyush Malik. He shares why he is so excited about AI/ML in 2020 and best practices around moving data to the cloud and an example of how the GCP can unlock powerful insights and enable predicative analytics as soon as data is consolidated in the data warehouse.
Welcome back to another episode in SpringML’s Podcast Vision 2020.
Today, we are continuing our conversation with SpringML’s Chief Technology Officer and co-founder Girish Reddy. In this episode, Girish shares his perspective around building development teams for AI ML and advanced analytic use cases.
Welcome to another episode in SpringML’s Podcast Vision 2020.
Today’s episode features an interview with SpringML’s Chief Technology Officer and Co-Founder Girish Reddy. He shares his perspective on analytics and AI ML in 2020.
Today’s episode features an interview with SpringML co-founder Prabhu Palanisamy discussing Analytics & AI/ML in 2020.