The CART (Classification and Regression Trees) algorithm is a decision tree technique that is used for predictive modeling in both classification and regression tasks. It works by recursively splitting the data into subsets based on the feature that results in the largest information gain, creating a tree structure that can be used to make predictions on new data points.