Uploaded July 2025 | Updated September 2026, 2 weeks ago
Enterprise data isn’t always tidy—and AI agents need more than great retrieval to drive real value. In this session, we’ll share what we’ve learned at Snowflake about enabling agents that deeply understand and reason over structured business data, allowing our users to reliably "talk to their data." We’ll cover challenges like navigating messy schemas, generating trustworthy SQL, ensuring consistency in business semantics, and making the agent’s process visible to non-technical users. Whether you're scaling agent use across departments or starting to integrate them into core business workflows, you’ll leave with strategies to make agents effective, reliable, and trusted partners in the enterprise.
Enterprise data isn’t always tidy—and AI agents need more than great retrieval to drive real value. In this session, we’ll share what we’ve learned at Snowflake about enabling agents that deeply understand and reason over structured business data, allowing our users to reliably "talk to their data." We’ll cover challenges like navigating messy schemas, generating trustworthy SQL, ensuring consistency in business semantics, and making the agent’s process visible to non-technical users. Whether you're scaling agent use across departments or starting to integrate them into core business workflows, you’ll leave with strategies to make agents effective, reliable, and trusted partners in the enterprise.
