Description
Resource utilization analysis using machine learning allows R&D teams to optimize how resources—such as equipment, human capital, and materials—are used throughout the research process. By analyzing historical data and current utilization patterns, AI models can suggest adjustments that improve resource allocation, minimize waste, and ensure that the most critical projects receive appropriate support. This helps organizations achieve better productivity and higher ROI from their R&D investments.
