Systems | Development | Analytics | API | Testing

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.

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.

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.

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!

Check out what’s new in ThoughtSpot’s latest release. dbt MetricFlow Integration: Seamlessly import semantic definitions from dbt for a single source of truth across your stack. AI Theme Builder: Stop mapping CSS. Describe your brand guidelines and watch a polished UI appear instantly. Enhanced Mobile Experience: Bring decision-making to your pocket with expert-level reasoning via Spotter 3 and mobile-first Muze charts.

Where agentic AI meets your analytics stack to drive action at scale. The shift is here. As the industry moves from Generative AI (Chat) to Agentic AI (Action), the pressure is on for developers and data practitioners to design intelligent apps that don't just talk: they perform. The real challenge? Bridging the gap between sophisticated developer tooling and your enterprise analytics stack. That’s exactly what this session solves.

Don’t let the "AI iceberg" sink your IP Most leaders only focus on the flashy models at the surface, but the real value—and the risk—is what’s underneath. Tony Seale and Jessica Talisman reveal why turning AI back onto your own data infrastructure to build connected ontologies is the key to security. This semantic foundation is the core of Agentic Analytics, ensuring your insights are grounded in your specific business logic rather than generic LLM guesses.

Is your AI-driven "autonomous enterprise" a reality or a peak-of-inflated-expectations dream? Most organizations rush toward the end state of AI agents without doing the foundational work of defining how their data actually relates through a robust ontology. In this episode of The Data & AI Chief, we sit down with Tony Seale, Founder of The Knowledge Graph Guys, and Jessica Talisman, CEO and Founder of The Ontology Pipeline. We break down why the "lost art" of data modeling and the development of semantic layers are the secret weapons for scaling Agentic Analytics.