Patents by Inventor Mark Gillespie

Mark Gillespie 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: 20260111968
    Abstract: Aspects of the disclosure relate to using machine learning methods for chatbot selection. A computing platform may train a plurality of machine learning models, each corresponding to a chatbot. The computing platform may train an additional machine learning model to route queries to the plurality of machine learning models based on contents of the queries. The computing platform may receive a query, and may analyze the query using the additional machine learning model. The computing platform may route, based on the query analysis, the query to the plurality of machine learning models. The computing platform may generate, using the plurality of machine learning models, a response to the query. The computing platform may send the response to the query and one or more commands directing a client device to display the response to the query, which may cause the client device to display the response to the query.
    Type: Application
    Filed: June 27, 2025
    Publication date: April 23, 2026
    Applicants: Allstate Insurance Company, Allstate Northern Ireland Limited
    Inventors: Dao Nguyen, Mark Gillespie, Benjamin Hooper, Mridu Kashyap, Keith Barzano
  • Patent number: 12474036
    Abstract: Provided is an adjustable work light having a support having a length, a plurality of lights located along the length, at least one attachment mechanism connected to the support and being configured to arrange the support in a desired position. The support may be adjustable along the length, and the plurality of lights may be individually adjustable.
    Type: Grant
    Filed: April 13, 2023
    Date of Patent: November 18, 2025
    Inventor: Mark Gillespie
  • Patent number: 12373893
    Abstract: Aspects of the disclosure relate to using machine learning methods for chatbot selection. A computing platform may train a plurality of machine learning models, each corresponding to a chatbot. The computing platform may train an additional machine learning model to route queries to the plurality of machine learning models based on contents of the queries. The computing platform may receive a query, and may analyze the query using the additional machine learning model. The computing platform may route, based on the query analysis, the query to the plurality of machine learning models. The computing platform may generate, using the plurality of machine learning models, a response to the query. The computing platform may send the response to the query and one or more commands directing a client device to display the response to the query, which may cause the client device to display the response to the query.
    Type: Grant
    Filed: June 30, 2022
    Date of Patent: July 29, 2025
    Assignees: Allstate Insurance Company, Allstate Northern Ireland Limited
    Inventors: Dao Nguyen, Mark Gillespie, Benjamin Hooper, Mridu Kashyap, Keith Barzano
  • Publication number: 20250224101
    Abstract: Provided is an adjustable work light having a support having a length, a plurality of lights located along the length, at least one attachment mechanism connected to the support and being configured to arrange the support in a desired position. The support may be adjustable along the length, and the plurality of lights may be individually adjustable.
    Type: Application
    Filed: April 13, 2023
    Publication date: July 10, 2025
    Inventor: Mark Gillespie
  • Publication number: 20230005070
    Abstract: Aspects of the disclosure relate to using machine learning methods for chatbot selection. A computing platform may train a plurality of machine learning models, each corresponding to a chatbot. The computing platform may train an additional machine learning model to route queries to the plurality of machine learning models based on contents of the queries. The computing platform may receive a query, and may analyze the query using the additional machine learning model. The computing platform may route, based on the query analysis, the query to the plurality of machine learning models. The computing platform may generate, using the plurality of machine learning models, a response to the query. The computing platform may send the response to the query and one or more commands directing a client device to display the response to the query, which may cause the client device to display the response to the query.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 5, 2023
    Inventors: Dao Nguyen, Mark Gillespie, Benjamin Hooper, Mridu Kashyap, Keith Barzano
  • Publication number: 20230004587
    Abstract: Aspects of the disclosure relate to using machine learning methods for chatbot selection. A computing platform may train a plurality of machine learning models, each corresponding to a chatbot. The computing platform may train an additional machine learning model to route queries to the plurality of machine learning models based on contents of the queries. The computing platform may receive a query, and may analyze the query using the additional machine learning model. The computing platform may route, based on the query analysis, the query to the plurality of machine learning models. The computing platform may generate, using the plurality of machine learning models, a response to the query. The computing platform may send the response to the query and one or more commands directing a client device to display the response to the query, which may cause the client device to display the response to the query.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 5, 2023
    Inventors: Dao Nguyen, Mark Gillespie, Benjamin Hooper, Mridu Kashyap, Keith Barzano
  • Patent number: 8682688
    Abstract: The present inventor(s) conceived of, among other things, a consumer healthcare portal to help consumers make well-informed healthcare decisions. One exemplary portal incorporates existing healthcare claims data from payers to provide personalized offerings around health plan selection and treatment options guidance. This data also provides the ability for consumers to assess the effectiveness of various physicians in their plans. Additionally, the exemplary portal provides a consumer messaging capability that facilitates automatic transmission of personalized healthcare communications geared to change individual consumer behavior.
    Type: Grant
    Filed: January 14, 2009
    Date of Patent: March 25, 2014
    Assignee: Truven Health Analytics Inc.
    Inventors: Barbara Coluni, Doug Schneider, Mark Gillespie