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.
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NAB deploys AI analytics tool saving 2-4 days per use case
Genie translates plain English questions into structured SQL queries. National Australia Bank (NAB) is rolling out a ...
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 ...
Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...
Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...
And once it appears, much of today’s enterprise AI landscape will start to look transitional. I’ve spent the last several ...
ClickHouse delivers real-time analytics, sub-second queries, and natural language interfaces at enterprise scale.
Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can trust them at scale.
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...
Google Open Knowledge Format (OKF) v0.1 gives AI agent teams a vendor-neutral Markdown spec for sharing organizational ...
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