As enterprises accelerate their investment in agentic AI, most are still stuck well before the action stage. The gap between analytics-ready data and AI-ready data has become the leading reason enterprise AI adoption stalls before it produces measurable value. Closing that gap isn’t just a data modernization exercise. It takes a secure cloud foundation, strong enterprise data governance, and disciplined use-case delivery working together, rather than three disconnected efforts pulling in different directions.

At the event, NuSummit and Snowflake walked attendees through how industry use-case delivery, secure cloud infrastructure, and a governed AI Data Cloud come together to move enterprises from data to decision to action. That spans everything from data modernization and cloud data governance to agentic analytics and secure data sharing.

The session drew clients from across financial services and capital markets, where AI adoption carries its own regulatory and data-sensitivity demands. Attendees engaged actively with the discussion and welcomed a practical, grounded approach to a topic most enterprises, in financial services AI and beyond, are still working through.

NuSummit and Snowflake shared what it takes to build the agentic enterprise: a foundation where data doesn’t just inform decisions, but where governed data and enterprise AI agents work together to drive action.