Databricks has launched Agent Bricks, an automated solution designed to facilitate the creation of AI agents tailored to specific business needs. This tool allows users to input a “high-level” ...
LONDON, UNITED KINGDOM, January 22, 2026 / EINPresswire.com / — New capabilities extend Salt’s discovery engine into the Agentic AI Action Layer and modern composable web architectures, providing the ...
Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center of agentic application development.
Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
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 ...
The artificial intelligence era won’t be decided only by providers of large language models such as OpenAI. Databricks made a big play at its annual Data+AI Summit in San Francisco this week to lead ...
Nimble uses AI agents to search the web, verify and validate the results, and then clean and structure the information into neat tables that can then be queried like a database.
(Reuters) - Databricks said on Wednesday it would buy database startup Neon in a deal valued at about $1 billion, aiming to strengthen its analytics platform with technology that can help businesses ...
Of the databases on Databricks' platform, 80% are now being built by AI agents, not people. And these aren't all tech companies.
Series B, with participation from Databricks Ventures and others, to fuel continued product innovation in unlocking live, verifiable web data ...
As enterprises race to deploy agents, shift from pilot projects to production, and scale, they face the reality that data integration and AI stacks remain deeply disconnected. The result is AI supply ...