This inventor holds 4 USPTO granted patents and 5 published patent applications. Top assignee: Mastercard International Incorporated. Active years: 2016-2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016-2022
Title: Innovations of Jean Pierre Gerard
Introduction
Jean Pierre Gerard is an accomplished inventor based in Croton-on-Hudson, NY (US). He has made significant contributions to the field of technology, particularly in the area of individual level learning mechanisms. With a total of 4 patents to his name, Gerard continues to push the boundaries of innovation.
Latest Patents
One of his latest patents focuses on embedding web page content based on an individual level learning mechanism. This patent discloses systems and methods that involve receiving purchase event data from a merchant device, indicating that a purchase event occurred by a user on a user device. The data is then transmitted to an analytics server for processing. The methods include calculating a time gap for each of two sequential purchase events and determining an average duration of consecutive events. Additionally, the method assesses a purchase hazard probability that a purchase event will occur on a given day. If this probability exceeds a certain threshold, the system can push a message to the user device.
Career Highlights
Jean Pierre Gerard is currently employed at Mastercard International Incorporated, where he applies his expertise in technology and innovation. His work has been instrumental in developing systems that enhance user experience and engagement through data analytics.
Collaborations
Throughout his career, Gerard has collaborated with notable colleagues, including Shen Xi Meng and Po Hu. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Jean Pierre Gerard exemplifies the spirit of innovation through his work and patents. His contributions to technology, particularly in individual level learning mechanisms, highlight the importance of data-driven solutions in today's digital landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
