Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help ...

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Databricks, the Data and AI company, is introducing DBRX, a general-purpose large language model (LLM) that enables organizations around the world to cost-effectively build, train, and serve their own ...

Databricks, the leading Data and AI company, made significant announcements at the Data + AI Summit. The newly introduced Lakehouse AI enables customers to develop generative AI applications, ...

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

The San Francisco-based data analytics company Databricks has raised a stunning $10 billion funding round, which values the company at $62 billion and likely puts it on a path toward an IPO. The size ...

The best judge of artificial intelligence could be AI — at least that’s the idea behind Databricks Inc.’s new tool, Agent Bricks. Built on Databricks’ Mosaic AI platform, Agent Bricks allows users to ...

CEO Ali Ghodsi says Databricks' research team pushed him to acquire the months-old startup. Lilac helps users find data to train LLMs and assess the data coming out of them. This comes as Databricks ...

Data is every organization’s lifeblood, fueling almost every strategic decision. And, while most modern enterprises use some type or blending of data warehouses, data lakes and data lakehouses, these ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...