Bank of America Corporation

Ryan Strug

Ramakrishna R Yannam

Priyank R Shah

Saahithi Chillara

Rajan Jigish Jhaveri

Prejish Thomas

Kurt R Schultz

Steven Zhao

A system for condensing user communications relating to a topic is provided. The system may include a processor and a non-transitory memory. The processor may: designate a topic of user interest; retrieve legacy communications; and remove duplicative communications. The processor may form a topic-centric training set for a neural network. The topic-centric training set may be based on the legacy communications, legacy intelligence, and the plurality of outcomes and may be delimited by an analysis of the database. The processor may synthesize the neural network using the topic-centric training set in order to assign individual weights to each of a plurality of nodes in the neural network. In response to a selection of the topic of user interest, the processor may generate a plurality of user options based on the neural network. The system may include a display in order to prompt the user to select one of the options.

Artificial intelligence (AI)-powered legacy scenarios for use within a mobile application

Artificial intelligence (AI)-powered conversational messaging and completion engine for use within a mobile application

Artificial intelligence (AI)-powered conversational messaging within a mobile application

Growing community of inventors

Plano, TX, United States of America

Ryan Strug