Databricks on Wednesday unveiled new features designed to enable enterprise customers to securely and cost-effectively develop generative AI models and applications that deliver high-quality outputs.

Discover how Databricks brings cost controls including attribution, access controls, and smarter spend limits to serverless.

Databricks Inc. today unveiled a new suite of tools aimed at simplifying the development of artificial intelligence agents for enterprise use. The centerpiece of the announcement is Mosaic Agent ...

Ali Ghodsi, co-founder and chief executive of Databricks Inc., believes that data and artificial intelligence estates are fragmented, costly and much too complex. Today, he explained how his company’s ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

Pricefx, a global leader in pricing intelligence for B2B enterprises, today announced a partnership with Databricks, the data and AI company. The partnership will soon introduce a native integration ...

HP has replaced its customer data platform with Databricks CustomerLake. A customer data platform, or CDP, is the tool ...

See how HP uses Databricks CustomerLake and Genie to build audiences in 2 hours, expand marketing data with 90% net-new ...

Vendors such as Databricks, Microsoft, NVIDIA, and Snowflake offer different implementations of model routing, optimizing for ...

With Agent Memory and AI Runtime, Databricks is refining AI development to aid customers struggling to build agents that can ...

Learn how to query Databricks Iceberg tables with Lakehouse runtime catalog through bi-directional federation with Databricks ...