Introduction several capabilities that seem to shift Databricks from being primarily a data platform to becoming an AI operating system—Genie One, Agent Bricks, AI Gateway, Lakebase Search, and business semantics.
Do you see the future enterprise architecture evolving from:
Data Sources → Lakehouse → BI
to
Data Sources → Lakehouse → Agents → Business Users
If you're already building production AI solutions on Databricks, what architectural changes are you making after these announcements?
I'd love to hear perspectives from architects, platform engineers, and the Databricks product team.