Farah Serrano

Data governance designed for humans won't stop AI systems from failing on bad data.

Federated query engines let teams govern AI data in place instead of migrating it.

Agents need catalogs that enforce definitions and access at query time, not just document them.

Static field labels miss sensitivity that emerges when AI agents combine data across queries.

AI systems need data structured for agents, not analysts—and they're fundamentally different.