Predictive modeling is a data science technique that uses statistical algorithms and machine learning methods to analyze historical data. By identifying patterns and relationships within the data, it builds models capable of forecasting future events or values. This process helps organizations make informed decisions, optimize strategies, and anticipate trends across various applications such as finance, marketing, healthcare, and more.