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Last updated: May 20, 2026, 2:37 PM ET

AI & ML Research

Researchers unveiled a cost-optimization framework for AI agents that integrates operations research with data science, reducing planning expenses by up to 40% in enterprise deployments. The methodology prioritizes skill coverage and budget allocation to prevent runaway costs, addressing a critical scalability gap as businesses rush to deploy autonomous systems.