Data for Agents: The New Database User
How data infrastructure and database systems are evolving to support autonomous AI agents in production. The talk covers data freshness, parallel request handling, access control, and metadata discovery across the data stack. Speakers include Savannah Whitman (VeloDB) on enterprise AI agents querying databases; Sijie Guo (StreamNative) on agent runtime failures and cost control; Jaz Ku (PuppyGraph) on mapping relationships across thousands of tables; and Adi Wabisabi (Datastrato) on scoping agent access to user permissions. The event concludes with a panel and Q&A.