Government adoption of agentic AI has moved from pilot projects to a leadership mandate, with 82% of agencies already using AI agents and most planning expansion through 2027. On the enterprise side, ...

Google Cloud and Oracle have expanded their partnership with the launch of the Oracle AI Database Agent for Gemini Enterprise, enabling natural language access to Oracle data without compromising ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Oracle and Google's new AI agent lets business users query databases in plain English without SQL knowledge, maintaining ...

Oracle Corp. is extending its partnership with Google LLC’s Cloud to simplify how enterprise users interact with data, ...

This article explores how performance-focused code review works, what reviewers should look for, and how teams can prevent slowdowns long before users complain.

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise ...

What really happens after you hit enter on that AI prompt? WSJ’s Joanna Stern heads inside a data center to trace the journey and then grills up some steaks to show just how much energy it takes to ...

President Donald Trump is again trying to exert control over American elections, signing an executive order Tuesday that aims to create federal lists of citizens and ask the U.S. Postal Service to ...

Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and Autonomous AI Vector Database for enterprises.

Abstract: Data analysts nowadays are keen to have analytical capabilities involving deep learning (DL). Prediction queries, which combine relational operations with DL models to analyze multi-modal ...