Cohorts

In AI, cohorts represent distinct groups of data points or instances with similar attributes or characteristics, often used to train and evaluate machine learning models. By partitioning data into cohorts, AI systems can better understand and adapt to variations within different subsets, enhancing their performance and generalization capabilities.

Within a collection of multiple time series, some may behave similarly. These similarly-behaving time series form cohorts. Identifying cohorts has massive implications for decision making. For example, cohort identification can indicate which products can replace each other or sell together; which financial instruments are replaceable; which individuals follow similar career paths; and more. Restricting co-learning to cohorts can also improve forecasts performance.​