This inventor holds 1 USPTO granted patent, plus 1 CIPO patent and 1 EPO patent. Top assignee: Uptake Technologies, Inc.. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019
Title: The Innovations of Timothy Stacey
Introduction
Timothy Stacey is an accomplished inventor based in Chicago, IL. He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on enhancing the efficiency of asset-monitoring systems by utilizing location-based data.
Latest Patents
Timothy Stacey holds a patent for the "Handling of predictive models based on asset location." This invention discloses a computer architecture and software designed to modify the handling of predictive models by an asset-monitoring system based on the location of an asset. The asset-monitoring system maintains data indicative of a location of interest, which represents a location where operating data from assets should be disregarded. The system determines whether an asset is within this location of interest and, if so, disregards the operating data for that asset when handling a predictive model related to its operation. This innovative approach enhances the accuracy and reliability of predictive analytics in asset management.
Career Highlights
Timothy Stacey is currently employed at Uptake Technologies, Inc., where he continues to develop cutting-edge solutions in the field of predictive analytics. His work at Uptake Technologies has positioned him as a key player in the advancement of asset-monitoring technologies.
Collaborations
Timothy has collaborated with notable colleagues, including Adam McElhinney and John Boueri. Their combined expertise contributes to the innovative environment at Uptake Technologies.
Conclusion
Timothy Stacey's contributions to predictive modeling and asset-monitoring systems demonstrate his commitment to innovation. His patent reflects a significant advancement in the field, showcasing the importance of location-based data in enhancing predictive analytics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
