Patents by Inventor Tasneem Hajara

Tasneem Hajara 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).

  • SUPERVISED MACHINE LEARNING FOR AUTOMATED ASSISTANTS
    Publication number: 20230385554
    Abstract: Disclosed are methods and systems for supervised machine learning for automated assistants. An example method includes: receiving an automated assistant transcript comprising a plurality of records, wherein each record of the plurality of records comprises a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent; receiving, via a graphical user interface (GUI), a user input indicating an approval of a new automated assistant transcript record; comparing the new automated assistant transcript record to one or more records of the plurality of records; and responsive to detecting a conflict of the new automated assistant transcript record with one or more records of the plurality of records, displaying, via the GUI, a notification of the conflict.
    Type: Application
    Filed: August 14, 2023
    Publication date: November 30, 2023
    Inventors: Prem Kumar Sivasankar, Vamsi Pola, Francis McGovern, Charles Gregory Starnes, Zsa-Zsa Porter, Tasneem Hajara, Jennifer Adelhardt, Daniel J. Gibbons, Scott Blandford, Michael Ilfeld, Peter Tsahalis, Justin Meyer, James Titus, Alysce Balbuena, Mehul Shah, Jeffrey Scola, Heather H. Gordon, Claudette Grose, Reena T. Khatwani, Reetu Sharma, Lisa R. Weil
  • Supervised machine learning for automated assistants
    Patent number: 11783133
    Abstract: Disclosed are methods and systems for supervised machine learning for automated assistants. An example method includes: receiving an automated assistant transcript comprising a plurality of records, wherein each record of the plurality of records comprises a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent; receiving, via a graphical user interface (GUI), a user input indicating an approval of a new automated assistant transcript record; comparing the new automated assistant transcript record to one or more records of the plurality of records; and responsive to detecting a conflict of the new automated assistant transcript record with one or more records of the plurality of records, displaying, via the GUI, a notification of the conflict.
    Type: Grant
    Filed: July 8, 2020
    Date of Patent: October 10, 2023
    Assignee: Teachers Insurance and Annuity Association of America
    Inventors: Prem Kumar Sivasankar, Vamsi Pola, Francis McGovern, Charles Gregory Starnes, Zsa-Zsa Porter, Tasneem Hajara, Jennifer Adelhardt, Daniel J. Gibbons, Scott Blandford, Michael Ilfeld, Peter Tsahalis, Justin Meyer, James Titus, Alysce Balbuena, Mehul Shah, Jeffrey Scola, Heather H. Gordon, Claudette Grose, Reena T. Khatwani, Reetu Sharma, Lisa R. Weil
  • SUPERVISED MACHINE LEARNING FOR AUTOMATED ASSISTANTS
    Publication number: 20210365834
    Abstract: Disclosed are methods and systems for supervised machine learning for automated assistants. An example method includes: receiving an automated assistant transcript comprising a plurality of records, wherein each record of the plurality of records comprises a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent; receiving, via a graphical user interface (GUI), a user input indicating an approval of a new automated assistant transcript record; comparing the new automated assistant transcript record to one or more records of the plurality of records; and responsive to detecting a conflict of the new automated assistant transcript record with one or more records of the plurality of records, displaying, via the GUI, a notification of the conflict.
    Type: Application
    Filed: July 8, 2020
    Publication date: November 25, 2021
    Inventors: Prem Kumar Sivasankar, Vamsi Pola, Francis McGovern, Charles Gregory Starnes, Zsa-Zsa Porter, Tasneem Hajara, Jennifer Adelhardt, Daniel J. Gibbons, Scott Blandford, Michael Ilfeld, Peter Tsahalis, Justin Meyer, James Titus, Alysce Balbuena, Mehul Shah, Jeffrey Scola, Heather H. Gordon, Claudette Grose, Reena T. Khatwani, Reetu Sharma, Lisa R. Weil
  • AUTOMATED CUSTOMER ENROLLMENT USING MOBILE COMMUNICATION DEVICES
    Publication number: 20200250766
    Abstract: Disclosed are methods and systems for automated customer enrollment using mobile communication devices. An example method includes: receiving, by a computer system, an identification document image produced by a mobile communication device; extracting, from the identification document image a personal identifying information item; computing a confidence score of the personal identifying information item; responsive to determining that the confidence score meets or exceeds a confidence threshold, creating a customer profile for a person identified by the identification document, wherein the customer profile comprises the personal identifying information item; and supplying the customer profile to a financial account creation workflow.
    Type: Application
    Filed: February 6, 2019
    Publication date: August 6, 2020
    Inventors: Anand Sancheti, Scott M. Blandford, Tasneem Hajara, Lisa R. Weil, Phaneendra Pochinapeddi, Raja Doddala, Peter Tsahalis, Christopher Petta