AI-agenten goedkoper maken met operations research en data science

Operational research and data science techniques can significantly reduce AI agent expenses by optimizing resource allocation and planning strategies. The approach frames typical agent challenges like skill distribution and project assignment as mathematical optimization problems solvable through Python-based models, helping organizations manage costs more effectively.