Predictive analytics in AI refers to the use of statistical models and ML techniques to analyze data and make predictions about future outcomes. The goal of predictive analytics is to identify patterns and relationships in data and use that information to forecast what is likely to happen next. This technology is widely used in industries such as finance, marketing, healthcare, and retail to help make data-driven decisions and improve outcomes.

For example, a retail company might use predictive analytics to predict consumer buying habits and tailor their product offerings accordingly. A hospital might use predictive analytics to identify patients who are at risk for a certain health condition and intervene early to prevent it from becoming a more serious issue.