Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and ...

The company expanded its Microsoft Azure AI integrations and deployed Google’s Gemini models as it continued to forge agentic ...

Databricks has said, ‘Hey, what if data and AI were managed ... only ones who have access to that model unless you grant others access. Having one lineage graph and one governance capability ...

Databricks Model Serving optimizes these models' performance ... Lakehouse Monitoring provides deep insights into the lineage of data and AI assets, ensuring high quality, accuracy, and reliability.

The company is using the “model factory” software developed by MosaicML to create a “data intelligence engine,” which it calls DatabricksIQ. The founders note that DatabricksIQ is already used ...

Confluent , Inc. (NASDAQ:CFLT), a $9.8 billion market cap company with impressive 25% year-over-year revenue growth, and Databricks ... to-end stream lineage and automated data quality monitoring.

PHILADELPHIA, PA — XponentL has launched seven cutting-edge data products powered by Databricks to address ... enables global supply chain teams to model cross-border tariff impacts in real ...

Informatica says that the integration will improve the data lineage features available ... an open-source large language model that Databricks released earlier this year. The model features ...

Azure offers tools to reduce AI risk, boost model ... Databricks requires some third-party tools and application programming interface (API) configurations to integrate governance and data lineage ...