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 ...

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 ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

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 ...

If you strip away all the buzzwords about enterprise artificial intelligence, such as "agentic AI," the reality is that companies are learning what works in practice as they experiment with the ...

Over the past five years, advances in AI models’ data processing and reasoning capabilities have driven enterprise and industrial developers to pursue larger models and more ambitious benchmarks. Now, ...

Go inside Databricks and how CEO Ali Ghodsi is accelerating growth as he scales, its startup acquisition spree, race to own agentic AI—and its rivalry with Snowflake.

As we enter the artificial intelligence summit season, two pivotal events, Snowflake Summit and Databricks’ Data+AI Summit offer a rare lens into how the battle for the future of enterprise AI is ...