Patent ID: 11941586
Assignee: TRUIST BANK
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A system for retraining an artificial intelligence engine, the system comprising:
a network interconnecting a teammate participant device, a facilitator device, and a computing system operating the artificial intelligence engine in the form of a trained recurrent neural network (RNN), wherein the computing system includes a processing device operatively coupled to a memory device and wherein the processing device is configured to execute the computer-readable code to:
receive a plurality of meeting parameters from the facilitator device;
receive a binary meeting score from the teammate participant device;
correlate the binary meeting score to each of meeting parameters to create parameter scores;
store the parameter scores in the memory device;
feed the parameter scores from the memory device into the RNN to retrain the RNN, via an iterative training and testing loop, using the parameter scores as training test data, the retraining iteratively testing the training test data compared to a target variable and making adjustments in subsequent iterations to improve predictability of the target variable; and
deploy the retrained RNN to predict optimal parameters that incorporate the parameter scores to provide, based on receiving new meeting parameters, future meeting parameter suggestions.