Much like the close-but-not-identical concepts of AI and machine learning, there are two common models for AIOps: traditional, machine-learning-enabled AIOps and deterministic AIOps. In a machine learning model, a statistical analysis of current metrics, events, and alerts helps build a multidimensional model of a system to provide possible explanations for observed behavior. Deterministic AIOps, meanwhile, relies on high-quality data from all layers of the stack. It emphasizes not only data collection, but also how all the data is related to each other.