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Fortune
Fortune
Sheryl Estrada

CFOs could cut agentic AI costs up to 60% by fixing this overlooked data problem

Professional businesswoman working at a desk while interacting with an AI assistant on a tablet screen. The scene shows a modern office environment with notebook, laptop, and digital tools, representing productivity, smart technology, and digital transformation in business. Ideal for concepts related to artificial intelligence, remote work, automation, business innovation, and modern office lifestyle. (Credit: Getty Images)

Good morning. In the race to deploy AI agents, many companies are overlooking a costly problem hiding in plain sight: data without context.

Companies that prioritize semantics in their AI-ready data will improve agentic AI accuracy by up to 80% and cut costs by up to 60% by 2027, according to new research released at the recent Gartner’s Data & Analytics Summit in London.

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