Databricks — Volume 342, Issue 1

Databricks

Volume 342, Issue 1 · 7 articles from 2 issues

In This Issue

Building High-Quality and Trusted Data Products with Databricks (Databricks, Thursday, September 3rd, 2026)

Databricks explains data products, their lifecycle, data contracts and federated governance for AI-ready organizations. Read more

Governance beyond Security: Knowledge, Context and Ontology on the Lakehouse (Databricks, Thursday, September 3rd, 2026)

Databricks argues governance artifacts are enterprise semantics, making Unity Catalog a runtime for AI agents. Read more

Expanding Genie Agents: Deep Analysis, File Reasoning, and More (Databricks, Wednesday, September 2nd, 2026)

Genie Agents gain an Agent mode with API access, reasoning over unstructured files, and Genie Code for curation. Read more

How We Eliminated $1 Million a Year of Wasted AI Agent Spend in One Hour (Databricks, Tuesday, September 1st, 2026)

Seven small MCP server bugs silently burned about $1.2M a year in tokens and engineering time at Databricks. Read more

Announcing the Databricks Big Book of AgentOps (Databricks, Wednesday, September 2nd, 2026)

Databricks published a practical guide to deploying governed, reliable AI agents in production on its platform. Read more

Achieving Extreme Efficiency through Specialized GPU Kernel Generation (Databricks, Friday, September 4th, 2026)

Databricks built an agentic system that generates and rigorously validates specialized GPU kernels for faster inference. Read more

How Trackunit Turns Construction Data into Decisions With AI (Databricks, Friday, August 28th, 2026)

Trackunit's IrisX, built on Databricks, connects fragmented construction equipment data into actionable operational intelligence. Read more

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