CFOs Can Reduce Agentic AI Costs by Up to 60% Through Improved Data Context
According to Gartner research presented at the recent Data & Analytics Summit in London, CFOs can significantly reduce agentic AI costs—up to 60%—by addressing a lack of data context. Companies that prioritize semantic clarity in their datasets could also improve accuracy by up to 80%. The study highlights how traditional schema-based models are no longer sufficient and emphasizes the need for a dedicated 'context' layer within enterprise data infrastructure.
Topics: agentic AI CFO strategy data context Gartner research