Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...

Compare the top 5 customer identity and access management (CIAM) platforms in 2026 to find the right fit for your product's ...

With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...

Enterprise clients can now leverage Growth Protocol's reasoning engine directly within Databricks via an SDK, without moving any data. Growth Protocol is an enterprise reasoning platform that uses ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

SAN FRANCISCO, March 11, 2026 /PRNewswire/ -- Databricks, the Data and AI company, today launched Genie Code, an autonomous AI agent that fundamentally changes how data work gets done. Genie Code can ...

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 ...

It has likely never been a more exciting or uncertain time to be a data professional. The field is being reshaped by long-building trends that have reached critical mass alongside rapid advances in ...