This inventor holds 2 USPTO granted patents. Top assignee: Oracle America, Inc.. Active years: 2018.
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
Title: Weng-Keen Wong: Innovator in Predictive Systems
Introduction
Weng-Keen Wong is a notable inventor based in Corvallis, OR (US). He has made significant contributions to the field of predictive systems through his innovative patents. With a total of 2 patents, Wong's work focuses on methods and systems that enhance the understanding and prediction of future actions based on instrumentation-generated events.
Latest Patents
Wong's latest patents include "Methods and systems that predict future actions from instrumentation-generated events." This patent describes methods that utilize statistical inference to analyze instrumentation-generated events, allowing for the prediction of future actions based on previously received actions. Another significant patent is "Methods and systems that categorize and summarize instrumentation-generated events." This invention employs statistical inference to categorize events and generate topic signatures, enhancing the processing of key/value pairs in event data.
Career Highlights
Weng-Keen Wong is currently employed at Oracle America, Inc., where he continues to develop innovative solutions in the realm of predictive analytics. His work has been instrumental in advancing the capabilities of systems that rely on real-time data analysis.
Collaborations
Wong has collaborated with notable colleagues such as Ethan William Dereszynski and Vladimir Brayman, contributing to a dynamic environment of innovation and research.
Conclusion
Weng-Keen Wong's contributions to predictive systems through his patents reflect his expertise and commitment to advancing technology. His work at Oracle America, Inc. continues to influence the field, making him a key figure in the realm of instrumentation-generated event analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
