Databricks' benchmark suggests enterprise AI buyers are moving beyond public leaderboards, prioritizing real-world ...
Building robust, reliable, and highly performant data pipelines is critical for ensuring downstream analytics and AI success. Despite this need, many organizations struggle on the pipeline front, ...
New MCP integration bridges diseases, medications, procedures, laboratory tests, outcomes, and eligibility criteria in plain ...
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for ...
The Meta-Harness Omnigent combines AI agents like Claude Code and Codex under a common policy and collaboration layer – under an Apache 2.0 license.
Founders from several AI startups explain how AI agents are accelerating engineering, boosting worker productivity and changing enterprise operations, but not replacing humans.
Databricks just open-sourced Omnigent, a free control layer for AI coding agents like Claude Code, Codex, and Pi. Here's how it works and who should try it.
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