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 ...

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

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 ...

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

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

Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...

Google has announced a seven-year partnership with Ireland’s Revenue Commissioners to develop a new cloud-based data platform ...