Description
R&D cost optimization through AI involves using algorithms and data analytics to identify areas where research spending can be reduced without sacrificing quality or innovation. These algorithms analyze project costs, resource allocation, procurement data, and research timelines to highlight inefficiencies and suggest cost-saving measures. Implementing this use case helps organizations maximize their R&D investments and allocate budgets more strategically.
