LTAP is the name of Databricks' new architecture, with which operational databases and analytical systems should only require a common data basis.

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.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Leaked documents reveal Meta is quietly building an AI-powered prediction markets app called Arena, as Mark Zuckerberg hunts for engagemen ...

DX Foundation, an enterprise data strategy and AI consultancy firm based in Austin, Texas, has announced an official ...

SAN FRANCISCO, June 15, 2026 (GLOBE NEWSWIRE) -- Monte Carlo, the agent trust platform for enterprise AI, today announced its support for Agent Bricks, Databricks' platform to build, deploy and govern ...

Discover how Salesforce and Databricks are enhancing AI integration with innovative governance tools. Learn about the new ...

Databricks Data + AI Summit —Bloomreach, the AI company for personalization, today announced it is a launch partner for Databricks CustomerLake, a new agentic Customer Data Platform (CDP). The ...

Monte Carlo extends observability coverage from Delta Lake tables and Lakeflow, Databricks’ unified data engineering solution, to agents built on Agent Bricks - giving enterprises a continuous, ...

The Git project has officially released Git 2.55, bringing a wide range of improvements focused on performance, developer ...