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.

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 ...

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

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

Use these official MCP servers to interact with the leading database platforms via natural language through your LLM-assisted ...

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

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

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 ...

Google Open Knowledge Format (OKF) v0.1 gives AI agent teams a vendor-neutral Markdown spec for sharing organizational ...

AWS Transform (ATX) is Amazon’s agentic AI service purpose-built to automate enterprise cloud migrations for VMware, .NET, ...