Capital One Services, LLC

Thomas Zahorik

Sri Penmatsa

Vamsi Rallabandi

Premkumar Dhayalan

Sara McDole

Danni Tang

Saiteja Kamuni

Suresh Pothireddy

Trent F Hodges

Robert L Scholtz, Iii

Miguel De La Rocha

Raghav Sahai

Sara R Mcdole

Avinash Kawale

Anup Shirodkar

Matthew C Ford

Kevin T Shaffer

David Aber

Disclosed herein are system, method, and computer readable medium embodiments for machine learning systems to process interactive communications between at least two participants. Speech and text within the interactive communications are analyzed using machine learning models to infer insights located within the interactive communications. The inferred insights are converted to descriptive text or audio and tagged to the interactive communication as graphics or audio whispers reflecting the insights added to the interactive communication.

Transcript tagging and real-time whisper in interactive communications

Systems and methods for managing models for call data are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a user device, an input indicating a segment of a first recorded call and an attribute associated with the segment. The operations may include determining a parameter of a model, wherein the model is associated with the attribute. The operations may include changing the parameter based on the input. The operations may include generating an updated model based on the changed parameter, wherein the updated model may be configured to analyze recorded calls having one or more segments with the same attribute.

Systems and methods to manage models for call data

Growing community of inventors

Charlottesville, VA, United States of America

Thomas Zahorik