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 ...

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

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

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

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.

The Financial Industry Regulatory Authority is launching a review of how firms handle higher-risk structured products, including “worst-of” structured notes that can threaten principal investments.

In the split second it takes for a card payment to clear, a fintech database may execute thousands of database operations supporting payment authorization, fraud checks, and balance updates. In ...

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

Large language models (LLMs) have fundamentally changed what it means to be found online. These systems do not read content the way a person does, nor do they rank pages the way traditional search ...

Many clients who move into charitable giving do so reactively—responding to requests from friends, supporting their alma mater or contributing to causes featured in the news. As their philanthropic ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...