March 26 Databricks Updates: MLflow, Foundation Models & Supervisor Agents @Databricks
March 26 Databricks Updates: MLflow, Foundation Models & Supervisor Agents  @Databricks
Uploaded March 2026 | Updated September 2026, 2 weeks ago
Hated this podcast? Why not replace us with an RSS feed: docs.databricks.com/aws/en/release-notes/#databricks-release-notes-feed

Databricks platform release notes: docs.databricks.com/aws/en/release-notes/product

Want some pre made data? Check out Caspers Kitchen for a 4 click deployment here: github.com/databricks-solutions/caspers-kitchens

Find us on Spotify now: open.spotify.com/episode/26JcO00ojUDv3RhETQilCq

Chapters
00:00 Introduction
01:46 Autoloader
07:01 3 New Foundation Models
11:41 Stateless Streaming Performance Improvements
16:43 MLflow Traces
20:57 Multi-Statement Transactions
24:48 Supervisor Agents
28:43 Metric Views
33:58 Outro
March 26 Databricks Updates: MLflow, Foundation Models & Supervisor AgentsGovern MCP servers in Databricks #databricks #mcp #aigovernanceVector Search Tutorial | Hands-On Challenge Day 7/12AI Agents for Healthcare & Life SciencesUK Power Networks Manages Smarter Grids with Databricks and Unity CatalogBenchmarking LLMs for Enterprise AI | Data Brew | Episode 45Databricks in 3 minutes. The unified data and AI platform, explained.Safe AI-Driven Development with Lakebase BranchesPython Based Time Series Analytics on DatabricksMigrating Legacy SAS Code to Databricks Lakehouse: What We Learned Along the WayOctopus Energy Accelerates a Smarter, Greener Grid with DatabricksWhat Is a Meta-Harness for AI Agents? Omnigent explained
Databricks |

March 26 Databricks Updates: MLflow, Foundation Models & Supervisor Agents

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER