Databricks is debuting a new system for retrieving the data that AI agents need to perform tasks accurately.

Enterprises are going all in on compound AI agents. They want these systems to reason and handle different tasks in different domains, but are often stifled by the complex and time-consuming process ...

BOSTON--(BUSINESS WIRE)--AtScale, the leader in enterprise semantic layer technology, today announced its integration with the Databricks MCP Marketplace. This partnership enables organizations to ...

Speculation about a Databricks IPO has heated up in the last few weeks following the AI company’s most recent funding round. The company, which is ...

Rapid Support for the Modern Edge. Alongside AI visibility, Salt is addressing the fragmentation of modern web architectures. The new Salt Netlify Collector brings feature-parity traffic collection to ...

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

Enterprise AI agents boost automation but often run with broad permissions, allowing actions beyond user access and weakening ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

The $400 million round was led by Dragoneer.

Databricks Ventures has made an equity investment of undisclosed size in AI and data consulting firm Indicium, which provides a range of services around Databricks software. Databricks has made an ...

Data teams, application owners, and IT all want agentic AI. Figuring out who funds it is complex - and the organizational ...