One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...
Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...
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 ...
Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...
Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...
Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...
Software maker MongoDBMDB carved out a niche for itself in the giant database market. Now its "nonrelational" DNA may be key as artificial intelligence redefines what it means to be a database company ...
The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still require human expertise and control. In The Sorcerer’s Apprentice, Mickey Mouse ...
The database is no longer just where data lives, but where context gets assembled. And in AI, context is everything. Developers have spent the past decade trying to forget databases exist. Not ...