Abstract: In some examples, computer-implemented systems and processes facilitate a prediction of occurrences of future events using trained artificial intelligence processes and normalized feature data. For instance, an apparatus may generate an input dataset based on elements of interaction data that characterize an occurrence of a first event during a first temporal interval, and that include at least one element of normalized data. Based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate output data representative of a predicted likelihood of an occurrence of a second event associated with during a second temporal interval. The apparatus may also transmit at least a portion of the output data to a computing system, which may perform operations consistent with the portion of the output data.