Patents by Inventor Brenton William D'Adamo

Brenton William D'Adamo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • REAL TIME KEY CONVERSATIONAL METRICS PREDICTION AND NOTABILITY
    Publication number: 20230297780
    Abstract: A system and a method are disclosed for alerting a manager device to an occurrence of an event an agent device during a conversation between the agent device and an external party. N an embodiment, a processor receives transcript data during a conversation between the agent device and the external party. The processor normalizing the transcript data, and inputs the normalized transcript data into a machine learning model, the machine learning model trained to identify an inflection point in the conversation. The processor receives, as output from the machine learning model, a measure of notability of the normalized transcript data. The processor determines whether the measure of notability corresponds to an inflection point, and, responsive to determining that the measure of notability corresponds to an inflection point, alerts the manager device.
    Type: Application
    Filed: February 21, 2023
    Publication date: September 21, 2023
    Applicant: Sutherland Global Services Inc.
    Inventors: Bharat S. Raj, Eric Jee-Keng Dunn, Dmytro Kovalchuk, Brenton William D'Adamo, Benjamin S. Shan
  • Real time key conversational metrics prediction and notability
    Patent number: 11587552
    Abstract: A system and a method are disclosed for alerting a manager device to an occurrence of an event an agent device during a conversation between the agent device and an external party. N an embodiment, a processor receives transcript data during a conversation between the agent device and the external party. The processor normalizing the transcript data, and inputs the normalized transcript data into a machine learning model, the machine learning model trained to identify an inflection point in the conversation. The processor receives, as output from the machine learning model, a measure of notability of the normalized transcript data. The processor determines whether the measure of notability corresponds to an inflection point, and, responsive to determining that the measure of notability corresponds to an inflection point, alerts the manager device.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: February 21, 2023
    Assignee: Sutherland Global Services Inc.
    Inventors: Eric Jee-Keng Dunn, Dmytro Kovalchuk, Brenton William D'Adamo
  • Real Time Key Conversational Metrics Prediction and Notability
    Publication number: 20200388271
    Abstract: A system and a method are disclosed for alerting a manager device to an occurrence of an event an agent device during a conversation between the agent device and an external party. N an embodiment, a processor receives transcript data during a conversation between the agent device and the external party. The processor normalizing the transcript data, and inputs the normalized transcript data into a machine learning model, the machine learning model trained to identify an inflection point in the conversation. The processor receives, as output from the machine learning model, a measure of notability of the normalized transcript data. The processor determines whether the measure of notability corresponds to an inflection point, and, responsive to determining that the measure of notability corresponds to an inflection point, alerts the manager device.
    Type: Application
    Filed: April 30, 2020
    Publication date: December 10, 2020
    Inventors: Eric Jee-Keng Dunn, Dmytro Kovalchuk, Brenton William D'Adamo