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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Are enterprises moving from "Data Lakehouse" to "Agentic Lakehouse"?

Bitrip007
New Contributor II

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.

1 REPLY 1

suryaprayaga
New Contributor III

Yes its true. I work in an AdTech and MarTech company where we serve customers with rich AdTech use cases like Campaign Optimization, Creative Performance, AdOps etc., 

In the recent past we have seen multiple use cases with several customers asking for Agentic AI Solutions.

suryaprayaga