Patents by Inventor Upendra D. Belhe

Upendra D. Belhe 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: 8798987
    Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.
    Type: Grant
    Filed: October 23, 2013
    Date of Patent: August 5, 2014
    Assignee: Hartford Fire Insurance Company
    Inventors: Kelly J. McLaughlin, Upendra D. Belhe, Gregory P. Goddu, Natalie Mohanty, Kathleen F. Mauer
  • Publication number: 20140046705
    Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.
    Type: Application
    Filed: October 23, 2013
    Publication date: February 13, 2014
    Applicant: Hartford Fire Insurance Company
    Inventors: Kelly J. McLaughlin, Upendra D. Belhe, Gregory P. Goddu, Natalie Mohanty, Kathleen F. Mauer
  • Patent number: 8571900
    Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.
    Type: Grant
    Filed: December 14, 2012
    Date of Patent: October 29, 2013
    Assignee: Hartford Fire Insurance Company
    Inventors: Upendra D. Belhe, Gregory P. Goddu, Kelly J. McLaughlin, Kathleen F. Mauer, Natalie Mohanty
  • Patent number: 8359209
    Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.
    Type: Grant
    Filed: December 19, 2007
    Date of Patent: January 22, 2013
    Assignee: Hartford Fire Insurance Company
    Inventors: Kelly J. McLaughlin, Upendra D. Belhe, Gregory Paul Goddu, Natalie Mohanty, Kathleen F. Maurer
  • Publication number: 20090043615
    Abstract: The systems and methods herein generally pertain to the computation of a likelihood that an item with a given set of characteristics will exhibit a future trait. The system generally comprises an input module for receiving the set of characteristics, a database for storing parameters relating to the set of characteristics, a computerized predictive model for estimating the likelihood, a business logic processor for executing the predictive model, and a processor for processing the set of characteristics based on its predicted likelihood.
    Type: Application
    Filed: August 7, 2007
    Publication date: February 12, 2009
    Applicant: Hartford Fire Insurance Company
    Inventors: Upendra D. Belhe, Kelly J. McLaughlin, Rebecca Ann Parker
  • Publication number: 20080147448
    Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.
    Type: Application
    Filed: December 19, 2007
    Publication date: June 19, 2008
    Applicant: Hartford Fire Insurance Company
    Inventors: Kelly J. McLaughlin, Upendra D. Belhe, Gregory P. Goddu, Natalie Mohanty, Kathleen F. Maurer