Patents by Inventor Alan HAMPTON

Alan HAMPTON 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).

  • ENTITY DATA ATTRIBUTION USING DISPARATE DATA SETS
    Publication number: 20230394051
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Application
    Filed: August 22, 2023
    Publication date: December 7, 2023
    Inventors: Jean-Baptiste Michel, Alan Hampton, Ananya Shukla, I.K Ashok Sivakumar
  • Entity data attribution using disparate data sets
    Patent number: 11782936
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: October 10, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Jean-Baptiste Michel, Alan Hampton, Ananya Shukla, I.K. Ashok Sivakumar
  • ENTITY DATA ATTRIBUTION USING DISPARATE DATA SETS
    Publication number: 20210224266
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Application
    Filed: January 27, 2021
    Publication date: July 22, 2021
    Inventors: Jean-Baptiste Michel, Alan Hampton, Ananya Shukla, I.K Ashok Sivakumar
  • Entity data attribution using disparate data sets
    Patent number: 10942935
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Grant
    Filed: December 4, 2018
    Date of Patent: March 9, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Jean-Baptiste Michel, Alan Hampton, Ananya Shukla, I. K. Ashok Sivakumar
  • ENTITY DATA ATTRIBUTION USING DISPARATE DATA SETS
    Publication number: 20190108173
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Application
    Filed: December 4, 2018
    Publication date: April 11, 2019
    Inventors: Jean-Baptiste Michel, Alan Hampton, Ananya Shukla, I.K. Ashok Sivakumar
  • Entity data attribution using disparate data sets
    Patent number: 10223429
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Grant
    Filed: July 13, 2016
    Date of Patent: March 5, 2019
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Jean-Baptiste Michel, Alan Hampton, Ananya Shukla, I. K. Ashok Sivakumar
  • ENTITY DATA ATTRIBUTION USING DISPARATE DATA SETS
    Publication number: 20170154082
    Abstract: Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
    Type: Application
    Filed: July 13, 2016
    Publication date: June 1, 2017
    Inventors: Jean-Baptiste MICHEL, Alan HAMPTON, Ananya SHUKLA, Ishwar SIVAKUMAR