Patents by Inventor John M. Verones

John M. Verones 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: 11263590
    Abstract: A prediction system and method may include receiving a plurality of discrete applicant data inputs and a supporting document, the applicant data inputs and the supporting document being relevant to a permit application, providing a first predicted probability of approval of the permit application by comparing the discrete applicant data inputs with weighted criteria of previous applicant profiles stored in a first database, analyzing the supporting document to determine a second predicted probability of approval of the permit application by comparing the supporting document with previous applicant supporting documents stored in a second database, performing a sentiment analysis on external publically available information relevant to at least one aspect of the permit application to determine an impact score on the permit application, and determining an overall probability of success based on the first predicted probability, the second predicted probability, and the impact score.
    Type: Grant
    Filed: February 9, 2018
    Date of Patent: March 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: John M. Verones, Michael Bender, Aleem Hooda, Bruno Rositano, Samantha Gauvreau, Tapan Choudhury, Troy Pariag
  • Publication number: 20190251492
    Abstract: A prediction optimization system and method includes analyzing the overall probability of success to identify one or more attributes of the permit application that is negatively impacting the overall probability, mapping the attributes against a list of optimizing action items to determine a recommended change that adjusts the attributes to improve the overall probability, applying the recommended change to determine a recalculated predicted probability of success, analyzing an external publicly available information used to determine the impact score to identify external publicly available information that is negatively impacting the impact score, mapping the at least one item against a second predetermined list of optimizing action items to determine a recommended action related to a submission of the permit application, applying the recommended action to determine a recalculated impact score, and determining an optimized overall probability of success based on the recalculated predicted probability and the
    Type: Application
    Filed: February 9, 2018
    Publication date: August 15, 2019
    Inventors: Michael Bender, John M. Verones
  • Publication number: 20190251514
    Abstract: A prediction system and method may include receiving a plurality of discrete applicant data inputs and a supporting document, the applicant data inputs and the supporting document being relevant to a permit application, providing a first predicted probability of approval of the permit application by comparing the discrete applicant data inputs with weighted criteria of previous applicant profiles stored in a first database, analyzing the supporting document to determine a second predicted probability of approval of the permit application by comparing the supporting document with previous applicant supporting documents stored in a second database, performing a sentiment analysis on external publically available information relevant to at least one aspect of the permit application to determine an impact score on the permit application, and determining an overall probability of success based on the first predicted probability, the second predicted probability, and the impact score.
    Type: Application
    Filed: February 9, 2018
    Publication date: August 15, 2019
    Inventors: John M. Verones, Michael Bender, Aleem Hooda, Bruno Rositano, Samantha Gauvreau, Tapan Choudhury, Troy Pariag