Patents by Inventor Farooq Khalid

Farooq Khalid 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 DIGITAL ASSISTANTS
    Publication number: 20210217416
    Abstract: A method of improving response times associated with responding to requests submitted at one or more front-end systems is disclosed. An utterance is listened for at an intelligent virtual assistant included in the one or more front-end systems. At least one of an intent, a context, and a classification is inferred from the utterance. One or more back-end system commands are generated based on the inferring. The one or more back-end system commands are selected based on machine-learned mappings of the at least one of the intent, the context, and the classification to machine-learned organization-specific pathways into the one or more back-end systems. The one or more back-end system commands are distributed across the one or more back-end systems. A response to the utterance is communicated for presentation via the intelligent virtual assistant, the response including an aggregation of the one or more results received.
    Type: Application
    Filed: December 30, 2020
    Publication date: July 15, 2021
    Inventors: Baba Nadimpalli, Farooq Khalid, Ritesh Nadhani
  • Machine-learning digital assistants
    Patent number: 10909980
    Abstract: A method of improving response times associated with responding to requests submitted at one or more front-end systems is disclosed. An utterance is listened for at an intelligent virtual assistant included in the one or more front-end systems. At least one of an intent, a context, and a classification is inferred from the utterance. One or more back-end system commands are generated based on the inferring. The one or more back-end system commands are selected based on machine-learned mappings of the at least one of the intent, the context, and the classification to machine-learned organization-specific pathways into the one or more back-end systems. The one or more back-end system commands are distributed across the one or more back-end systems. A response to the utterance is communicated for presentation via the intelligent virtual assistant, the response including an aggregation of the one or more results received.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: February 2, 2021
    Assignee: SKAEL, Inc.
    Inventors: Baba Nadimpalli, Farooq Khalid, Ritesh Nadhani
  • MACHINE-LEARNING DIGITAL ASSISTANTS
    Publication number: 20180247648
    Abstract: A method of improving response times associated with responding to requests submitted at one or more front-end systems is disclosed. An utterance is listened for at an intelligent virtual assistant included in the one or more front-end systems. At least one of an intent, a context, and a classification is inferred from the utterance. One or more back-end system commands are generated based on the inferring. The one or more back-end system commands are selected based on machine-learned mappings of the at least one of the intent, the context, and the classification to machine-learned organization-specific pathways into the one or more back-end systems. The one or more back-end system commands are distributed across the one or more back-end systems. A response to the utterance is communicated for presentation via the intelligent virtual assistant, the response including an aggregation of the one or more results received.
    Type: Application
    Filed: February 27, 2018
    Publication date: August 30, 2018
    Inventors: Baba Nadimpalli, Farooq Khalid, Ritesh Nadhani