Patents by Inventor Luke Sedney

Luke Sedney 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: 11720825
    Abstract: The system and methods of the disclosed subject matter provide an experimentation framework to allow a user to perform machine learning experiments on tenant data within a multi-tenant database system. The system may provide an experimental interface to allow modification of machine learning algorithms, machine learning parameters, and tenant data fields. The user may be prohibited from viewing any of the tenant data or may be permitted to view only a portion of the tenant data. Upon generating an experimental model using the experimental interface, the user may view results comparing the performance of the experimental model with a current production model.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: August 8, 2023
    Assignee: Salesforce, Inc.
    Inventors: Sarah Aerni, Luke Sedney, Kin Fai Kan, Till Christian Bergmann
  • Publication number: 20200250587
    Abstract: The system and methods of the disclosed subject matter provide an experimentation framework to allow a user to perform machine learning experiments on tenant data within a multi-tenant database system. The system may provide an experimental interface to allow modification of machine learning algorithms, machine learning parameters, and tenant data fields. The user may be prohibited from viewing any of the tenant data or may be permitted to view only a portion of the tenant data. Upon generating an experimental model using the experimental interface, the user may view results comparing the performance of the experimental model with a current production model.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Sarah Aerni, Luke Sedney, Kin Fai Kan, Till Christian Bergmann