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CEOs are Being Lied to About AI Productivity

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!

Why 90% of Data Strategies Fail to Make Money

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.

Why Enterprise Data Strategy Must Start with Business Strategy

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.

How to Sync Semantic Models Between ThoughtSpot and Snowflake with Cortex Code

Migrating semantic models between ThoughtSpot and Snowflake just got significantly faster. Our Senior Product Manager, Damian Waldron, walks through how to use ThoughtSpot's Agent Skills in Snowflake Cortex Code (CoCo) to migrate and sync between ThoughtSpot Models and Snowflake Semantic Views, including complex schemas with fan traps, semi-additive measures, and shared dimensions. In this video you’ll learn how to.

How to Use Snowflake Semantic Views in ThoughtSpot

Learn how to go from Snowflake Semantic View to a fully functional ThoughtSpot Liveboard in under five minutes. Our Senior Director of Product Management, Antonio Scaramuzzino, shows the powerful native integration between Snowflake Semantic Views and ThoughtSpot’s Spotter Semantics. You’ll learn how to: + Skip the manual mapping. Use the Semantic Views you’ve created in Snowflake directly in ThoughtSpot.

Snowflake Semantic Views + ThoughtSpot: One AI Context Layer

Your data engineers have spent months getting your metric definitions right: revenue recognized the way finance approved it, churn calculated the way your exec team aligned on it, and pipeline logic that your rev ops team actually agrees on. And then a new tool arrives, and someone has to do it all again.

Spotter 3 Meets MCP: Your AI Analyst, Everywhere You Work

More business teams are doing their thinking inside Claude and ChatGPT than ever before. Research, planning, analysis, content: it's all happening inside LLM platforms now. But the moment someone needs an answer grounded in actual enterprise data, the workflow breaks. They leave the AI, open the BI tool, run the query, copy the result back. Context lost, momentum killed. That's the problem we set out to solve when we launched ThoughtSpot's Agentic MCP Server back in July.

Why AI Models Fail Without Trust | The Ontology Secret

Data trust is broken. In the "good old days," one expert vetted one dashboard. Today? You have massive scale and AI models that need accurate data to survive. Jessica Talisman joins Cindi Howson on The Data & AI Chief to reveal why the ontology pipeline is the secret sauce for trustworthy AI. Learn how structural clarity turns data chaos into your biggest competitive advantage. Catch the full discussion on your preferred podcast player!