PREDICTING TARGETED FUTURE ENGAGEMENT USING TRAINED ARTIFICIAL INTELLIGENCE PROCESSES

摘要

The disclosed embodiments include computer-implemented processes that determine, in real time, a likelihood of a targeted future engagement using trained artificial intelligence processes. For example, an apparatus may generate a first input dataset based on elements of first interaction data associated with a first temporal interval, and based on an application of a trained first artificial intelligence process to the first input dataset, generate output data representative of a predicted likelihood of an occurrence of each of a plurality of target events during a second temporal interval. The second temporal interval is subsequent to the first temporal interval and is separated from the first temporal interval by a corresponding buffer interval. Further, the apparatus may transmit at least a portion of the output data to a computing system, which may generate notification data associated with the predicted likelihood, and provision the notification data to a device.