San Diego, CA, United States of America

Yuanpeng Wu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations by Yuanpeng Wu in Data Analytics

Introduction

Yuanpeng Wu is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of data analytics, particularly in enhancing real-time responses to user requests. His innovative approach aims to reduce user-perceived delays in data analytics services.

Latest Patents

Yuanpeng Wu holds a patent titled "Enhancement of real-time response to request for detached data analytics." This patent describes a system and method for providing enhanced real-time or near-real-time responses to requests for detached data analytics services. The system predicts the data analytics service that may be requested by a user based on real-time user interactions. It pre-loads and pre-configures a pipeline of data analytics components to perform the predicted service before an actual request is made. This proactive approach allows for intermediate data to be calculated and pre-cached in memory, significantly reducing the time required to complete the service upon user request.

Career Highlights

Yuanpeng Wu is currently employed at 12 Sigma Technologies, where he continues to develop innovative solutions in data analytics. His work focuses on improving the efficiency and responsiveness of data services, which is crucial in today's fast-paced digital environment.

Collaborations

Yuanpeng has collaborated with notable colleagues, including Nariaki Yamada and Ke Qi, to further enhance the capabilities of their projects and drive innovation within their field.

Conclusion

Yuanpeng Wu's contributions to data analytics through his patent and work at 12 Sigma Technologies exemplify the importance of innovation in technology. His efforts to enhance real-time data services are paving the way for more efficient user experiences in data analytics.

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