Model prediction is the process of applying data-driven algorithms and models to existing data in order to make accurate predictions about future events or outcomes. By understanding how different factors interact with one another, organizations can use model predictions to make decisions that help them achieve their goals and objectives. Put simply, model prediction provides an organization with valuable insight into what may happen in the future based on past data and current trends. This predictive power has become increasingly important for businesses of all sizes, allowing them to maximize resources and drive better results.