Bank of America Corporation

Prashanth Vallabhaneni

Diane S Cannato

Kevin Cole

Christopher Keith Restorff

Satyabrata Pradhan

Ashwin Kumar Yedte

Gregory Hugh Gunn

Murlidhar Reddy Gummakonda

Pamela Fong

Caitlin Rose Chrisman

Ashley Lauren Rozek

Shalini Johar

Sridhar Viswanathan

Rosheny Edathil

Aspects of the disclosure relate to generating and providing enhanced user interfaces by implementing data, AI, intents and personalization (DAIP) technology. In some embodiments, a computing platform may receive, from enterprise computing infrastructure, first unstructured activity data associated with a first enterprise channel. Subsequently, the computing platform may identify one or more user intents by applying an intent discovery model to the first unstructured activity data associated with the first enterprise channel. Then, the computing platform may generate status tracking information based on identifying the one or more user intents. Thereafter, the computing platform may store, in a consolidated event repository, the status tracking information generated based on identifying the one or more user intents, and storing the status tracking information in the consolidated event repository may cause the status tracking information to be exposed to multiple computer systems associated with different enterprise channels.

Generating and providing enhanced user interfaces by implementing data, AI, intents and personalization (DAIP) technology

An entity may generate generic notifications for transmittal to a plurality of customers. One of the notifications may not be properly customized for a customer to whom the notification is scheduled for deployment. A system is provided that generates and refines generic notifications using artificial intelligence ('AI'). The system may include an application server running an AI engine for periodically monitoring, at a given point in time, historical customer data relating to less than a predetermined number of customers to ensure reduced, relative to a predetermined baseline, processing usage. The AI engine may determine, during the monitoring, that notifications transmitted by the platform to one of the customers have failed to elicit a positive response from the customer. The determination may prompt the AI engine to put the generic notification on hold for the customer and to perform additional steps to alter the generic notification to a targeted notification.

AI system for processing historical data to identify and reconfigure prescheduled, suboptimal events

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Chadds Ford, PA, United States of America

Prashanth Vallabhaneni