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.

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

By integrating Quotient’s evaluation and reinforcement‑learning tech, Databricks hopes to address a growing CIO challenge: ...

Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...

This announcement comes on the heels of new data from Opal Labs' report The Permission Gap: How Unused Access is the Newest Security Crisis. The data is clear: overprovisioning is already out of ...

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 ...

The future of AI platforms lies in converged capabilities—and sovereign infrastructure will decide the winners ...

The partnership aims to simplify data management and accelerate AI deployment for enterprises across multiple sectors.

When it comes to test data management and de-identification, how do Informatica and Tonic Structural compare? Explore the value of a modern, on-premises solution.

The data analytics specialist has emerged as one of the biggest winners of the artificial intelligence revolution.