Lakehouse Enables Agentic AI With Governed Data

TDWI research fellow Donald Farmer, joined by Databricks and Alteryx experts, hosts a webinar on March 26, 2026, about how lakehouse architectures can support agentic AI. The session highlights pushdown execution, no-code analyst tooling, and governed, semantically rich data to enable auditable autonomous systems. Presenters outline practical steps to widen contributor access while preserving governance, performance, and cost controls.
Key Points
- 1Highlights lakehouse consolidation of storage, governance, and compute as foundation for agentic AI workflows.
- 2Explains need for semantically rich, governed data to enable auditable and trustworthy autonomous AI.
- 3Recommends no-code tools and pushdown execution so analysts self-serve without breaching governance controls.
Scoring Rationale
Practical, credible enterprise guidance on governed lakehouses and agentic AI, limited by promotional webinar format and limited technical depth.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems


