Abstract: In one or more aspects, there is provided a machine learning system and method for generating recommended electronic actions on user interfaces of requesting user interface query devices. In one or more aspects there is provided a machine learning based engine and device to process multiple modes of input user interface data utilizing natural language processing and machine learning models for processing different modes and determining intelligent computerized responses and digital actions based on the machine learning processing.

Abstract: The disclosed embodiments include computer-implemented systems and methods that dynamically profile behavior using trained machine-learning or artificial-intelligence processes. For example, an apparatus may obtain a data element associated with an exchange of data, and based on an application of a trained machine-learning or artificial-intelligence process to an input dataset associated with the data element, the apparatus may generate behavioral profile data that includes a range of expected deviations from an expected value of the parameter during a temporal interval. Based on a determination that the range of expected deviations fails to include the first parameter value, the apparatus may perform operations that prioritize the position of the data element within the alert queue, and transmit, to a device, a notification that includes the data element and information characterizing the prioritized position of the data element within the alert queue.