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Databricks is turning heads amid reports of a major new funding round following strong sales growth over the course of this year. The fast-growing AI and data analytics firm is looking to raise $5 ...

As everyone from OpenAI co-founder Sam Altman to armchair economists debate whether we’re in an AI bubble, Databricks’ latest fundraising effort suggests at least some investors are still willing to ...

Nov 30 (Reuters) - Data analytics firm Databricks is in talks to raise $5 billion at a valuation of $134 billion, which is roughly 32 times this year's expected sales of about $4.1 billion, The ...

Update: The revised post updates with details from Databricks. San Francisco-based data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, almost 30% above ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

The latest trends and issues around the use of open source software in the enterprise. Industrial AI company Cognite has detailed a new partnership with data engineering company Databricks with plans ...

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.

Databricks said on Thursday that it is incorporating OpenAI’s models, including GPT-5, into its data platform as well as its AI product, Agent Bricks, as part of a $100 million multi-year deal that ...

Analytics and AI software platform Databricks just made a $100 million bet on OpenAI. That’s how much it’ll be paying for a multi-year deal that will see OpenAI’s models incorporated into Databrick ...

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' ...

The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk ...