Patents by Inventor Mazhar Ladji

Mazhar Ladji 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).

  • Patent number: 11930054
    Abstract: Disclosed are various embodiments facilitating a holistic engagement with a user across multiple communication channels of an organization or an enterprise based at least in part on a determined user intent. As users interact with various services associated with the organization through one or more communication channels, interaction data can be captured and stored. In various examples, the interaction data that is stored by the various services can be obtained and organized according to a predefined schema. The organized interaction data can be applied to a trained intent model that outputs a user intent based at least in part on observations of other users with similar histories. The predicted intent can be provided to the different services such that subsequent interactions between the user and the organization can be based at least in part on the intent in a consistent manner, regardless of the communication channel associated with the interaction.
    Type: Grant
    Filed: January 31, 2022
    Date of Patent: March 12, 2024
    Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
    Inventors: Anil Kumar Bashetty, Swetha Gayam, Mark E. Johnson, Deepak Kumar, Mazhar Ladji, Cong Liu, Zeyu Liu, David Keith Love, Amarnath E. Mahendran, Matthew K. Meyer, Emery Schoenly, Jeremy D. Seideman, Govind Sharma
  • Publication number: 20230247070
    Abstract: Disclosed are various embodiments facilitating a holistic engagement with a user across multiple communication channels of an organization or an enterprise based at least in part on a determined user intent. As users interact with various services associated with the organization through one or more communication channels, interaction data can be captured and stored. In various examples, the interaction data that is stored by the various services can be obtained and organized according to a predefined schema. The organized interaction data can be applied to a trained intent model that outputs a user intent based at least in part on observations of other users with similar histories. The predicted intent can be provided to the different services such that subsequent interactions between the user and the organization can be based at least in part on the intent in a consistent manner, regardless of the communication channel associated with the interaction.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 3, 2023
    Inventors: Anil Kumar Bashetty, Swetha Gayam, Mark E. Johnson, Deepak Kumar, Mazhar Ladji, Cong Liu, Zeyu Liu, David Keith Love, Amarnath E. Mahendran, Matthew K. Meyer, Emery Schoenly, Jeremy D. Seideman, Govind Sharma