Description
Risk Scoring Systems use machine learning algorithms to assign numerical risk scores to different aspects of a project. By analyzing variables such as task complexity, resource allocation, budget deviations, and timeline uncertainty, the AI generates a risk score that reflects the likelihood and potential impact of a risk. This enables project managers to prioritize risk mitigation efforts and allocate resources more effectively.
