Nicole Barry

Scaling AI agents from task-level assistance to high-throughput, autonomous enterprise workflows requires fundamentally rethinking the data plane. While AI agents can perceive, reason, and orchestrate complex workflows at scale, most initiatives stall due to fragmented data, readiness gaps, and an inability to scale. In this session, explore how to evolve your data infrastructure into an Agentic Data Cloud that serves as a dynamic reasoning engine for agents, all of it underpinned by Google’s history of innovation that has completely changed the way the world handles data today.

Data leaders sharing the good, the bad and the ugly about governing data across company boundaries and even outside of the company walls. Key topics to unlock are Data Governance, Data Products, AI for Data