Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...

Abstract: Existing RGB-Thermal trackers usually treat intra-modal feature extraction and inter-modal feature fusion as two separate processes, therefore the mutual promotion of extraction and fusion ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Ali Ghodsi says Databricks wants to avoid the mistake of 2022, when many newly public tech companies were forced to prioritise Ebitda and margins after interest rates and inflation rose. Databricks ...

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' ...

Databricks, the $100 billion-valued AI data storage and analytics company, wants to help nurture fledgling companies. On Thursday, the company said it’s launching an accelerator program for seed and ...

Databricks Inc. today put some meat on the bones of its announcement three weeks ago that it had raised new funding that valued the company at more than $100 billion. The company said it is closing a ...

Databricks' valuation set to rise 61% in new funding round Existing investors Thrive Capital and a16z are set to double down Databricks is one of the most valuable private companies Aug 19 (Reuters) - ...

Artificial intelligence (AI) has brought more than just outsize gains in the technology sector over the last couple of years. The AI boom has acted as a transformational catalyst for companies across ...