Bank of America Corporation
Data processing system with machine learning engine to provide dynamic data transmission control functions

Abstract:

Systems for dynamically controlling data transmissions are provided. In some examples, a system may receive data from one or more computer systems. Data associated with an event may be extracted and the extracted data may be compared to one or more machine learning datasets to determine a likelihood that an issue associated with a computer system may occur. The system may determine whether the likelihood is greater than a predetermined threshold. If so, a modification to avoid the potential issue or mitigate an impact may be identified. The modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system. In some examples, one or more efficiency modifications may be identified based on the comparison of the extracted data to the machine learning datasets. The identified efficiency modification may be transmitted to and executed by the computer system to modify one or more aspects of the computer system.