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

Claim 7:
8. A system for training an artificial intelligence engine, the system comprising:
a facilitator device accessible by a human facilitator for facilitating a meeting among teammate participants having a processing device configured to receive, from the human facilitator, meeting parameters for transmission to a computing system, receive future meeting parameter suggestions from the computing system, and convey the future meeting parameter suggestions to the human facilitator;
a teammate participant device accessible by a teammate participant and having a processing device configured to receive from the teammate participant a binary meeting score indicating that the meeting was either productive or not productive; and
a network interconnecting the teammate participant device, the facilitator device, and the computing system operating the artificial intelligence engine in the form of a 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:
train, using a first set of training test data, the RNN to identify optimal parameters to be conveyed as the future meeting parameter suggestions in response to meeting parameters, the optimal parameters being identified based on a prediction of an optimal meeting outcome, the training using an iterative training and testing loop that iteratively tests the first set of training test data compared to a target variable and makes adjustments in subsequent iterations to improve predictability of the target variable thereby improving accuracy of the RNN;
deploy the trained RNN;
receive the meeting parameters from the facilitator device;
receive the 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 as a second set of training data to retrain the RNN to incorporate the parameter scores into the future meeting parameter suggestions.