India, May 13 -- The latest Gartner AI Agents report is sending a clear message to enterprises rushing toward agentic AI adoption: intelligence alone is not enough. Without strong semantic context and structured data understanding, AI agents may end up producing inaccurate, biased, and unreliable outcomes while driving up operational costs.

Speaking at the Gartner Data & Analytics Summit in London, Rita Sallam, Distinguished VP Analyst at Gartner, highlighted a growing concern around how organizations are preparing their AI systems. According to Gartner, AI agents rely heavily on context at every stage of an agentic workflow. If systems fail to understand relationships, business meaning, and organizational rules tied to data, AI response...