Which model of artificial intelligence uses historical data to forecast future outcomes?

Predictive artificial intelligence uses historical data to forecast and predict future outcomes, such as potential failure or congestion of a network. Generative artificial intelligence uses data models and reasoning to develop new models to develop insight into a problem or event. Anomaly detection is typically an outcome of machine learning. Root cause analysis is typically an outcome of artificial intelligence analyzing data across many different network elements.