Your model will keep getting better at writing SQL. To make it trustworthy, nail down the access rules before tuning for ...
You want to replace a business process running on Access with a different system.When you think that way, what do you do ...
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What AI-ready data demands
AI agents need data products to reliably discover and use enterprise data.
Oracle’s Deep Trust AI Architecture moves AI agent security into the database. This article looks at the announcement, how it ...
The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...
"Can you get me last month's sales by region?"Teams that hold data receive requests like this almost every week. The person asking does so casually, but the person receiving it has to write SQL, paste ...
AI agents can generate valid SQL and still deliver wrong answers. Discover how semantic layers help connect AI to approved ...
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 ...
Yukon used up to 7x less computing power than Spark and Flink in data-loading tests while keeping data currentNEW YORK, Nov. 05, 2026 (GLOBE NEWSWIRE) -- Eon, the Autonomous Data Foundation, today ...
Open data movement platform company Airbyte wants to extend that list of still-evolving data attribute controls with one crucial tier: the need for data conversability, i.e the ab ...
PhoenixAI, the original creator of StarRocks and the agentic AI database company, today launched Contextbase, the context infrastructure for AI agents. The company is unveiling it at NEXT QUERY 2026, ...
Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...
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