Predictive modeling refers to the process of using statistical algorithms and machine learning techniques to create a model that can predict future outcomes based on historical data. This approach involves analyzing patterns and trends within the data, allowing organizations to make informed decisions and forecasts. Predictive modeling is utilized in various fields, such as finance for risk assessment, marketing for customer segmentation, and healthcare for predicting patient outcomes. Key techniques include regression analysis, decision trees, and neural networks. By continuously refining models with new data, organizations can improve their predictions and adapt to changing conditions.