Enterprise Risk Management (ERM) in the context of machine learning. ERM uses various techniques to understand, manage, and mitigate the risks within an organization. Machine learning can be employed within ERM to identify, analyze, and predict risks by processing large datasets and uncovering complex relationships.
Machine learning models can analyze historical data to predict potential risks and trends, providing valuable insights for decision-making. This includes identifying potential risk factors, forecasting future risk scenarios, and suggesting strategies to mitigate or capitalize on these risks.