Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...

Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...

Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for ...

New agentic data access capabilities and compliance tooling will enable joint customers to safely deploy autonomous AI agents across Databricks without exposing sensitive data or overwhelming IT teams ...

Valuation Target: Databricks is seeking to raise funds at a valuation between $165 billion and $175 billion, significantly ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

AI-driven SQL tools now help teams explore data with natural language. Modern SQL platforms mix automation with real-time collaboration. Choosing the right tool depends on database support, price, and ...