Gartner “The core of the AI ​​agent era is semantics... 80% increase in accuracy and 60% cost reduction”

According to Gartner, in order for an AI agent to provide accurate answers at the optimal cost, it must understand the context of information input at each stage of the agentic workflow. To achieve this, a clear semantic foundation is needed on what the data within the organization means and how the relationships and rules between the data are structured. “The performance of agentic AI depends on context, including the semantic representation of the data,” said Rita Salam, senior VP analyst at Gartner.