This inventor holds 2 USPTO granted patents. Top assignee: Applied Predictive Technologies, Inc.. Active years: 2018-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018-2021
Title: Innovations by Inventor Kai Fei
Introduction
Kai Fei is an accomplished inventor based in Arlington, VA (US). He has made significant contributions to the field of technology, particularly in the area of data analysis. With a total of 2 patents, his work focuses on improving the accuracy and efficiency of initiative analysis.
Latest Patents
One of Kai Fei's latest patents is a computer system and method of initiative analysis using outlier identification. This innovative system addresses deficiencies in traditional data analysis by collectively analyzing all relevant data points for each test and control location. The method determines outliers and excludes individual outlier data points from the analysis during a relevant test period. Instead of excluding outliers at the site level, the system extracts the particular time increment containing the outlier data, allowing the site to remain in the analysis.
Career Highlights
Kai Fei is currently employed at Applied Predictive Technologies, Inc. His work at this company has allowed him to develop and refine his innovative ideas, contributing to advancements in predictive analytics and data-driven decision-making.
Collaborations
Some of Kai Fei's notable coworkers include Jeffrey Campbell and Stephen Kent. Their collaboration has fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Kai Fei's contributions to the field of data analysis through his innovative patents demonstrate his commitment to enhancing technology. His work continues to influence the industry and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile