This inventor holds 1 USPTO granted patent. Top assignee: Cigna Intellectual Property, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: John E Paton: Innovator in Machine-Learned Forecasting
Introduction
John E Paton is a notable inventor based in Auckland, New Zealand. He has made significant contributions to the field of machine learning, particularly in forecasting methodologies. His innovative approach combines historical data with advanced computational techniques to enhance predictive accuracy.
Latest Patents
John E Paton holds a patent for "Computerized methods and systems for machine-learned multi-output multi-step forecasting of time-series data." This patent describes a method that responds to forecasting requests from user devices via a web portal. It determines a measure of uncertainty associated with an input vector specified by the forecasting request. The method includes obtaining historical data from a time-series data store and generating a forecast model to predict outcomes incrementally for future time intervals. Additionally, it generates a graphical user interface to illustrate the mean vector and the magnitude of the predicted uncertainty measure when the predicted outcome exceeds a threshold. This innovative approach enhances the reliability of forecasts in various applications.
Career Highlights
John E Paton is currently associated with Cigna Intellectual Property, Inc., where he applies his expertise in machine learning and forecasting. His work focuses on developing advanced systems that leverage data to improve decision-making processes. His contributions have been instrumental in advancing the capabilities of predictive analytics.
Collaborations
John collaborates with Armand E Prieditis, working together to push the boundaries of innovation in their field. Their combined efforts aim to enhance the effectiveness of forecasting systems and contribute to the broader landscape of machine learning.
Conclusion
John E Paton is a distinguished inventor whose work in machine-learned forecasting has the potential to transform how data is utilized for predictions. His innovative patent and career at Cigna Intellectual Property, Inc. highlight his commitment to advancing technology in this critical area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
