Predicting targeted, agency-specific recovery events using trained artificial intelligence processes

Abstract

The disclosed embodiments include computer-implemented systems and methods that predicts targeted, agency-specific recovery events using a trained machine-learning or artificial-intelligence processes. For example, an apparatus may generate an input dataset based on elements of interaction data associated with an occurrence of a first event. Based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate elements of output data indicative of an expected occurrence of a corresponding one of a plurality of targeted second events involving each of a plurality of candidate event assignments during a future temporal interval. The apparatus may transmit at least a portion of the generated output data to a computing system via the communications interface, the computing system may perform operations that assign the first event to a corresponding one of the candidate event assignments based on the elements of output data.