Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

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.

Tower, founded by ex-Snowflake engineers, raises €5.5m to turn AI-generated data pipelines into reliable production systems.

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

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were ...

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

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

Discover the 7 best cloud orchestration tools for enterprises in 2026, including AWS CloudFormation, Ansible, Spacelift, ...

Here’s a little secret for you: The next wave of AI success is going to be completely dependent on structured data. Maybe that’s a no-brainer to you. Maybe I’m telling you that the next time you take ...

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

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 ...