DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit a 65% error rate without it.

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

Flatiron Telescope uses AI and transparent SQL to turn real-world evidence into quick turnaround oncology research and ...

Genie translates plain English questions into structured SQL queries. National Australia Bank (NAB) is rolling out a ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

And once it appears, much of today’s enterprise AI landscape will start to look transitional. I’ve spent the last several ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

In the realm of data management, MySQL stands out as one of the most popular relational database management systems (RDBMS) worldwide. Whether you’re a budding developer, a seasoned programmer, or a ...

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the ...

At Everpure Accelerate the company announced its Data Stream for data in real-time AI workloads and its Data Intelligence to ...

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can trust them at scale.