Predictive modeling refers to the process of using statistical algorithms and machine learning techniques to forecast future outcomes based on historical data. It involves analyzing patterns in data to make predictions about unknown or future events. By building predictive models, organizations can anticipate trends, behavior, or potential risks, helping them make informed decisions and take proactive measures. Predictive modeling is widely used in various fields such as finance, marketing, healthcare, and weather forecasting to optimize strategies, mitigate risks, and improve overall performance.