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: See what’s there in the document Understand it, and Make it useful (automate workflows, search, analytics) 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: How to implement contact tracing and symptom checks Vaccination eligibility and scheduling systems Back to school credentials - what is required for coming back to campus? The unique role of academic medical centers in the community First-hand use cases from Washington University in St. Louis