Amazon Web Services Inc. and Databricks Inc. have signed a five-year deal to help companies cut costs when building and running their artificial intelligence applications. Databricks’ AI service grew ...
The business prospect: making it easier for companies to build their own AI agents. The context: Even the most successful AI companies are still working on how to generate revenue that justifies ...
HiddenLayer, the leading provider of security for AI, today announced its participation in the Databricks Unity AI Gateway ...
Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...
Databricks has announced a launch that signals a shift from generative AI experimentation to production-scale deployment – anchored by two new tools, Lakeflow Designer and Agent Bricks. Both are aimed ...
Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...
Arsalan Tavakoli was at his bachelor party in 2013 when Ali Ghodsi, a computer science researcher at the University of California, Berkeley, pulled him aside. The two had become colleagues and friends ...
Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.
On Thursday, February 13, SAP made a slew of AI and data announcements, including the launch of the SAP Business Data Cloud, and a "landmark" new partnership with Databricks. SAP unveiled this news ...
Data analytics and artificial intelligence company Databricks Inc. is reportedly in talks to raise $5 billion in new funding on a $134 billion valuation. The new funding, if it should happen The ...
CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...