predictive risk models

Predictive risk models use data and advanced algorithms to estimate the likelihood of future events or outcomes. For example, they can analyze medical history, lifestyle, and other factors to predict health risks, or evaluate financial data to assess the chance of loan default. These models help organizations make informed decisions by identifying potential risks before they occur, enabling proactive management and resource allocation. Essentially, they serve as data-driven tools that forecast possible future problems, allowing for better planning and risk mitigation.