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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.

Real-time data and AI are converging—and companies that have already solved the data pipeline problem are pulling ahead fast. Wix processes over 40 billion interactions every day across hundreds of millions of websites, and the architecture behind that scale didn't happen by accident. It was built, lane by lane, around the principle that your upstream data must be at least as fast as your fastest use case.

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.

Want to bill customers for the AI tokens they actually use? This video shows you how to set up a LangChain app that meters LLM token usage and streams it to Kong Konnect Metering & Billing as CloudEvents — turning every prompt and response into invoiced usage, automatically.