Patents by Inventor Maritza S. POWELL

Maritza S. POWELL 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).

  • MACHINE LEARNING TECHNIQUES FOR OPTIMIZED COMMUNICATION WITH USERS OF A SOFTWARE APPLICATION
    Publication number: 20240048516
    Abstract: Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.
    Type: Application
    Filed: October 17, 2023
    Publication date: February 8, 2024
    Inventors: Andrea J. JACKSON, Subrai Girish PAI, Mark DERDZINSKI, Maritza S. POWELL, Joost Herman VAN DER LINDEN, Jessica S. LARRABEE
  • Machine learning techniques for optimized communication with users of a software application
    Patent number: 11831594
    Abstract: Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.
    Type: Grant
    Filed: September 12, 2022
    Date of Patent: November 28, 2023
    Assignee: Dexcom, Inc.
    Inventors: Andrea J. Jackson, Subrai Girish Pai, Mark Derdzinski, Joost Herman Van Der Linden, Maritza S. Powell, Jessica S. Larrabee
  • MACHINE LEARNING TECHNIQUES FOR OPTIMIZED COMMUNICATION WITH USERS OF A SOFTWARE APPLICATION
    Publication number: 20230077948
    Abstract: Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.
    Type: Application
    Filed: September 12, 2022
    Publication date: March 16, 2023
    Inventors: Andrea J. JACKSON, Subrai Girish PAI, Mark DERDZINSKI, Maritza S. POWELL, Joost Herman VAN DER LINDEN, Jessica S. LARRABEE