Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...

Databricks now has access to over $7 billion in debt, a person familiar with the matter told CNBC. Investors valued the data analytics software maker at $134 billion in a funding round announced in ...

Software maker Databricks Inc. has lined up $1.8 billion of new financing from broadly syndicated loan investors and private credit lenders. The company increased an existing delayed-draw term loan to ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

Ali Ghodsi, co-founder and chief executive officer of Databricks, in 2019. Correspondent Welcome back to In the Loop, TIME’s new twice-weekly newsletter about AI. If you're reading this in your ...

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 ...

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 explores funding above $130B even as warnings of an AI bubble intensify. Investor exits from Nvidia highlight rising caution, but AI startup demand stays strong. Databricks expands its data ...

New Agent Bricks features — Agent-as-a-Judge, Tunable Judges, and Judge Builder — are designed to help enterprises fine-tune agent performance and align AI behavior with business-specific standards.