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.

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 generation of ...

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

In the realm of data management, MySQL stands out as one of the most popular relational database management systems (RDBMS) worldwide ...

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 ...

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

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

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

AWS S3 Annotations allow up to 1 GB of structured metadata per object. This simplifies data management and AI workflows.

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