Patents by Inventor Evan Rosenman

Evan Rosenman 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).

  • Natural experiment finder system and method
    Patent number: 10878357
    Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the discretized historical data; and outputting, by the computer, a report of a detected experiment from the discretized historical data.
    Type: Grant
    Filed: December 27, 2011
    Date of Patent: December 29, 2020
    Assignee: Applied Predictive Technologies, Inc.
    Inventors: Evan Rosenman, Aaron Silverman, Vrushali Paunikar, Alan Li, Mark D'Agostino, Andrew Crewson, Michael Monteiro, Scott Ings
  • Natural experiment finder
    Patent number: 10776738
    Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: September 15, 2020
    Assignee: Applied Predictive Technologies, Inc.
    Inventors: Evan Rosenman, Aaron Silverman, Vrushali Paunikar, Alan Li, Mark D'Agostino, Andrew Crewson, Michael Monteiro, Scott Ings
  • Natural experiment finder system and method
    Patent number: 10354213
    Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.
    Type: Grant
    Filed: May 23, 2014
    Date of Patent: July 16, 2019
    Assignee: Applied Predictive Technologies, Inc.
    Inventors: Scott Ings, Evan Rosenman, Aaron Silverman, Vrushali Paunikar, Alan Li, Mark D'Agostino, Andrew Crewson, Michael Monteiro