Patents by Inventor Jacob Topper

Jacob Topper 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).

  • Publication number: 20220156615
    Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.
    Type: Application
    Filed: February 3, 2022
    Publication date: May 19, 2022
    Inventors: Sean Byrnes, Michael Kim, Anthony Watkins, Douglas Mitarotonda, Hetul Patel, Christopher Cranley, Mark Phuong, Jacob Topper, Carla Nunes, Michael Rollins, Claire L. Byrne, James T. Malone
  • Patent number: 11276006
    Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.
    Type: Grant
    Filed: April 24, 2019
    Date of Patent: March 15, 2022
    Assignee: Outlier AI, Inc.
    Inventors: Sean Byrnes, Michael Kim, Anthony Watkins, Douglas Mitarotonda, Hetul Patel, Christopher Cranley, Mark Phuong, Jacob Topper, Carla Nunes, Michael Rollins, Claire L. Byrne, James T. Malone
  • Publication number: 20210240789
    Abstract: A system and method for selecting tailored information to present to a subscriber, including receiving subscriber data, determining an analysis set based on the subscriber data, extracting abstract parameters from the subscriber data, selecting an analysis from the analysis set based on a general model and the abstract parameters, and presenting the selected analysis to the subscriber.
    Type: Application
    Filed: April 19, 2021
    Publication date: August 5, 2021
    Inventors: Michael Kim, Jacob Topper, Mark Phuong, Douglas Mitarotonda
  • Patent number: 11010442
    Abstract: A system and method for selecting tailored information to present to a subscriber, including receiving subscriber data, determining an analysis set based on the subscriber data, extracting abstract parameters from the subscriber data, selecting an analysis from the analysis set based on a general model and the abstract parameters, and presenting the selected analysis to the subscriber.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: May 18, 2021
    Assignee: Outlier AI, Inc.
    Inventors: Michael Kim, Jacob Topper, Mark Phuong, Douglas Mitarotonda
  • Publication number: 20210073304
    Abstract: A system and method for selecting tailored information to present to a subscriber, including receiving subscriber data, determining an analysis set based on the subscriber data, extracting abstract parameters from the subscriber data, selecting an analysis from the analysis set based on a general model and the abstract parameters, and presenting the selected analysis to the subscriber.
    Type: Application
    Filed: September 8, 2020
    Publication date: March 11, 2021
    Inventors: Michael Kim, Jacob Topper, Mark Phuong, Douglas Mitarotonda
  • Publication number: 20190251457
    Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.
    Type: Application
    Filed: April 24, 2019
    Publication date: August 15, 2019
    Inventors: Sean Byrnes, Michael Kim, Anthony Watkins, Douglas Mitarotonda, Hetul Patel, Christopher Cranley, Mark Phuong, Jacob Topper, Carla Nunes, Michael Rollins, Claire Byrne, Seamus Malone
  • Publication number: 20150205842
    Abstract: A method for contact management comprises retrieving, using a mobile electronic device of a user, contact information from multiple external sources. The method next comprises storing said contact information in a memory location of said mobile electronic device. Next, the method comprises determining with a computer processor whether contact information from a portion of said multiple sources at least partially overlaps with contact information from a remainder of said multiple sources. The method next comprises either merging the contact information to generate a consolidated contact record or splitting the contact information to generate split contact records based on the determining the overlap. And then the method comprises storing said consolidated contact record or split contact records in a memory location of said mobile electronic device.
    Type: Application
    Filed: January 16, 2015
    Publication date: July 23, 2015
    Inventors: Ankur Jain, Purshotam Rajani, Sinan Aral, Daniel O'Shea, Chetan Surpur, Ian Murray, Ryan Mick, Clara Zavani, Joe Dao, John Ullman, Kenny Liou, Jacob Topper, Jaclyn Chen, Arielle Zuckerberg, Daniel Pourbaba, Jonathan Shriftman, Jacob Medwell, David Wyler
  • Publication number: 20150205822
    Abstract: A method for contact management comprises retrieving, using a mobile electronic device of a user, contact information from multiple external sources. The method next comprises storing said contact information in a memory location of said mobile electronic device. Next, the method comprises determining with a computer processor whether contact information from a portion of said multiple sources at least partially overlaps with contact information from a remainder of said multiple sources. The method next comprises either merging the contact information to generate a consolidated contact record or splitting the contact information to generate split contact records based on the determining the overlap. And then the method comprises storing said consolidated contact record or split contact records in a memory location of said mobile electronic device.
    Type: Application
    Filed: January 16, 2015
    Publication date: July 23, 2015
    Inventors: Ankur Jain, Purshotam Rajani, Sinan Aral, Daniel O'Shea, Chetan Surpur, Ian Murray, Ryan Mick, Clara Zavani, Joe Dao, John Ullman, Kenny Liou, Jacob Topper, Jaclyn Chen, Arielle Zuckerberg, Daniel Pourbaba, Jonathan Shriftman, Jacob Medwell, David Wyler