You want to replace a business process running on Access with a different system.When you think that way, what do you do ...

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

In most companies, that knowledge is scattered. Definitions sit in a semantic layer, documents in a vector store, memory in a separate memory service, and traces and evaluations in observability tools ...

The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...

The Silicon Review ranks the top 10 database management companies of 2026 Oracle, Microsoft, AWS, MongoDB, and more. Founders ...

Oracle’s Deep Trust AI Architecture moves AI agent security into the database. This article looks at the announcement, how it ...

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

AI agents need data products to reliably discover and use enterprise data.

"I connected an AI agent to a database and asked it to 'get last month's net sales,' and it wrote and executed the SQL in ...

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 layer ...

AI Analytics Assistants help software teams query data in natural language, uncover insights faster, and reduce manual SQL ...

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