Bank of America Corporation

Mohamed A Gahnoog

Katherine Dintenfass

Cameron Darnell Wadley

William August Stahlhut

Minh N Vuong

Susan Varghese

Victoria Lynn Dravneek

Anna Hollifield

Gail R Davis

Aspects of the disclosure relate to multicomputer processing of data from social media service computing platforms and other sources with centralized event control. A first computing platform may receive a request to authorize an event from a first device as well as information from one or more social media service computing platforms. The first computing platform may determine whether or not to authorize the event and may request authorization for the event from a second device. Subsequently, the first computing platform may command a second computing platform to authorize or not authorize the event accordingly. The rules and conditions evaluated by the first computing platform in determining whether or not to authorize the event may be determined or altered by a machine learning engine of the first computing platform.

Multicomputer processing of user data with centralized event control

Aspects of the disclosure relate to multicomputer processing of data from social media service computing platforms and other sources with centralized event control. An event control computing platform may receive information from one or more social media service computing platforms. Subsequently, the event control computing platform may identify, based on the received information, whether a change should be made to user data associated with a user identifiable by the received information. If the information indicates that a change should be made to the user data, then the event control computing platform may extract metadata from the received information to verify the accuracy of the received information. When the metadata verifies the accuracy of the received information, the event control computing platform may generate a command configured to cause a change to the user data and then may transmit the generated command to an event validation computing platform.

Aspects of the disclosure relate to implementing and using a data processing system to provide real-time data to improve event delivery timing. A computing platform may establish respective connections with and receive, via a communication interface, (i) from a subordinate user computing device, information defining a first event; (ii) from a supervisory user computing device, supervisory information associated with the first event; and (iii) from a first participant computing device, first participant information associated with delivery of the first event. The computing platform may execute an algorithm for comparing the information defining the first event, the supervisory information, and the first participant information, and generating a formatted alert based thereon. The formatted alert may be transmitted for display on the subordinate user computing device and/or the supervisory user computing device.

Predictive modeling for event delivery based on real-time data

Aspects of the disclosure relate to implementing and using a data processing system to provide real-time data to improve event delivery timing. A computing platform may establish respective connections with and receive, via a communication interface, (i) from collection of subordinate user computing devices, information defining a first event; (ii) from collection of supervisory user computing devices, supervisory information associated with the first event; and (iii) from a first participant computing device, first participant information associated with delivery of the first event. The computing platform may execute an algorithm for aggregating the information defining the first event and the supervisory information, and generating a formatted alert based thereon. The formatted alert may be transmitted for display on the first participant computing device.

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Charlotte, NC, United States of America

Mohamed A Gahnoog