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 ...

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 plausible-sounding but factually incorrect information. KAIST ...

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

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...

One is whether AI can produce a plausible answer. The other is whether the system around the AI can produce a defensible ...

EDO, the TV outcomes company, continues leveraging Snowflake’s best-in-class agentic capabilities to innovate with ChatEDO™, ...

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