NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic… ...

This application allows users to convert natural language queries into SQL queries. It leverages advanced natural language processing (NLP) and machine learning techniques to understand and translate ...

I used SQL queries and Python pandas to create a patient-level feature table combining clinical information, tumor sample characteristics, and protein-altering mutation counts. The patients and ...

Discover how to use Google Cloud Database Migration Service to shrink Cloud SQL for SQL server disks with minimal downtime.

PostgreSQL window functions make it possible to rank records, calculate running totals, and analyze data without combining ...

As enterprises race to connect AI agents to their most sensitive data, Oracle database tools specialist Jeff Smith is making a contrarian case: ...

There is no tool for browsing raw schemas. NVIDIA chose that on purpose, so agents reach data through the semantic layer. The ...

Snorkel’s CI provisions an ephemeral Kubernetes environment for every open PR and ad-hoc commit, and each namespace greatly ...

Microsoft explains how Hyperscale separates compute, logging and storage while retaining a single primary for writes and SQL Server transaction semantics.

Michael Stonebraker and Bruce Momjian argue enterprise AI needs open, controllable databases. Stonebraker's MIT benchmark ...

Agentic AI is reshaping cybersecurity. Learn why security data platforms need real-time context, open access, fine-grained ...