Systems | Development | Analytics | API | Testing

Shub Agarwal (Founder of the AI Trust Lab at USC) flips the script. Stop over-investing in massive data overhauls. Instead, reverse your approach: start with a brutal business problem, pull only the specific data needed to solve it, and build incrementally. Chief Data & AI Strategy Officer Cindi Howson agrees that true value comes from scaling immediate business impact, not waiting for a flawless architecture that will never arrive.

Check out what’s new in ThoughtSpot’s latest release: Spotter learns from your Liveboards and conversations to deliver smarter, more context-aware answers over time. It's now easier than ever to turn complex business questions into trusted, beautifully designed Liveboards with SpotterViz Seamlessly import formulas, measures, and dimensions from Snowflake into ThoughtSpot for a single source of truth across your stack.

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance.

AI fixed the M&A data nightmare, but @SPGlobalMarketIntelligence 's Saugata Saha says the real win is shifting your mindset. Stop treating data as a byproduct...make it your competitive edge! Catch the full discussion of podcast on any podcast platform.

Is your system performance taking a hit from hidden data clutter? Admins are constantly looking for ways to streamline their environments, and finding unused content is the fastest way to get results. In this video, we dive into how you can utilize the User Adoption Liveboard to instantly track down abandoned Liveboards and Answer Cards that haven't been accessed in over 90 days. You'll learn how to easily copy and recalibrate existing answer cards, set up custom organizational filters, and pull the exact lists you need to perform a high-impact cluster cleanup.

Is your organization actually driving value with AI, or just scratching the surface? @SPGlobalMarketIntelligence's Saugata Saha joins to share the 4-part journey to real AI maturity. He warns that without a deliberate action plan to completely transform day-to-day employee workflows, any productivity gains will just be "squishy" metrics that fail to impact the bottom line. Head over to your favorite listening platform to catch the full episode!

Want your data strategy to actually drive revenue? @SPGlobalMarketIntelligence’s Saugata Saha and ThoughtSpot’s Cindi Howson break down why data strategies fail when they disconnect from business goals. To win, you need to solve real customer pain points and move past the bottleneck of report prep. Watch the new episode of on your preferred listening platform! Music: “The Clermont” by Flash Fluharty Licensed via PremiumBeat, ID: P9IHFMDYNZCKLEFZ.

Learn how ThoughtSpot Sync enables you to operationalize insights from ThoughtSpot for the business apps you know and use every day, including Slack, Google Sheets, Microsoft Team, ServiceNow, Salesforce, HubSpot, and more.

Enjoy this lesson from the Customizing Charts and Visualizations course in the Business User learning path on ThoughtSpot U. This lesson covers the basics of Customizing Visualizations to get the desired results.

Learn what happens when the executive accountable for data strategy is also the executive accountable for the business results that depend on it. Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer at S&P Global, shares how he manages one of the world's largest financial data estates while driving business outcomes across public and private markets. He breaks down the four pillars of S&P Global's data strategy, the federated organizational model that connects data teams to business value, and why capturing ROI from AI requires deliberate workflow transformation.