Patents by Inventor Peter T. Gallanis

Peter T. Gallanis 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).

  • Dynamic model data facility and automated operational model building and usage
    Patent number: 11068789
    Abstract: A commercial process with a dependent variable can be associated with a set of independent variables. The commercial process can continuously provide data collection opportunities. An intervention is designed using a model to predict the dependent outcome. The actual outcome of the intervention can be determined within the window of utility for these data. One objective is to improve intervention outcomes with prediction. Purely random outcomes (no model prediction) and outcomes resulting from the intervention (model operations) are aggregated into separate files—a sequence of control model data files and a sequence of model data files of operational data. These model data files and control model data files are used to analyze model performance and to react automatically when identified conditions warrant.
    Type: Grant
    Filed: March 28, 2016
    Date of Patent: July 20, 2021
    Assignee: Aha Analytics Software LLC
    Inventors: Robert Craig Murphy, Bruce Allen Bacon, Peter T. Gallanis, Mark Samuel Teflian
  • Dynamic model data facility and automated operational model building and usage
    Patent number: 10896374
    Abstract: A commercial process with a dependent variable can be associated with a set of independent variables. The commercial process can continuously provide data collection opportunities. An intervention is designed using a model to predict the dependent outcome. The actual outcome of the intervention can be determined within the window of utility for these data. One objective is to improve intervention outcomes with prediction. Purely random outcomes (no model prediction) and outcomes resulting from the intervention (model operations) are aggregated into separate files—a sequence of control model data files and a sequence of model data files of operational data. These model data files and control model data files are used to analyze model performance and to react automatically when identified conditions warrant.
    Type: Grant
    Filed: October 23, 2013
    Date of Patent: January 19, 2021
    Inventors: Robert Craig Murphy, Bruce Allen Bacon, Peter T. Gallanis, Mark Samuel Teflian
  • DYNAMIC MODEL DATA FACILITY AND AUTOMATED OPERATIONAL MODEL BUILDING AND USAGE
    Publication number: 20140180982
    Abstract: A commercial process with a dependent variable can be associated with a set of independent variables. The commercial process can continuously provide data collection opportunities. An intervention is designed using a model to predict the dependent outcome. The actual outcome of the intervention can be determined within the window of utility for these data. One objective is to improve intervention outcomes with prediction. Purely random outcomes (no model prediction) and outcomes resulting from the intervention (model operations) are aggregated into separate files—a sequence of control model data files and a sequence of model data files of operational data. These model data files and control model data files are used to analyze model performance and to react automatically when identified conditions warrant.
    Type: Application
    Filed: October 23, 2013
    Publication date: June 26, 2014
    Applicant: Aha! Software LLC
    Inventors: Robert Craig Murphy, Bruce Allen Bacon, Peter T. Gallanis, Mark Samuel Teflian