Systems | Development | Analytics | API | Testing

Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment.

Is your organization actually driving value with AI, or just scratching the surface? USC's Founder of the AI Trust Lab, Shub Agarwal, joins to share his definitive 9-step playbook to take AI from concept to production without burning your budget.

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.

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.

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.