Patents by Inventor Michael F. Kosednar

Michael F. Kosednar 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).

  • Performance estimation system utilizing a data analytics predictive model
    Patent number: 10599670
    Abstract: According to some embodiments, a server may access a data store containing electronic records, each electronic record representing a risk association for an entity in connection with a plurality of relationships, and each electronic record may contain a set of record characteristic values. The server may automatically designate a first sub-set of the set of record characteristic values as fixed effect variables and a second sub-set as random effect variables. A data analytics mixed effect predictive model may then generate, based on the fixed and random effect variables, a future performance estimation value for the risk association of each entity in connection with its plurality of relationships. An indication associated with the future performance estimation value for the risk association of at least one entity in connection with its plurality of relationships may then be transmitted to generate an interactive user interface display.
    Type: Grant
    Filed: April 13, 2016
    Date of Patent: March 24, 2020
    Assignee: Hartford Fire Insurance Company
    Inventors: Jufeng Peng, Gregory Patrick Larsson, Michael F Kosednar, Anne S Gouin
  • PERFORMANCE ESTIMATION SYSTEM UTILIZING A DATA ANALYTICS PREDICTIVE MODEL
    Publication number: 20170300824
    Abstract: According to some embodiments, a server may access a data store containing electronic records, each electronic record representing a risk association for an entity in connection with a plurality of relationships, and each electronic record may contain a set of record characteristic values. The server may automatically designate a first sub-set of the set of record characteristic values as fixed effect variables and a second sub-set as random effect variables. A data analytics mixed effect predictive model may then generate, based on the fixed and random effect variables, a future performance estimation value for the risk association of each entity in connection with its plurality of relationships. An indication associated with the future performance estimation value for the risk association of at least one entity in connection with its plurality of relationships may then be transmitted to generate an interactive user interface display.
    Type: Application
    Filed: April 13, 2016
    Publication date: October 19, 2017
    Inventors: Jufeng Peng, Gregory Patrick Larsson, Michael F. Kosednar, Anne S. Gouin