Wang Cheung

Title: **Wang Cheung: Innovator in Data Asset Management**

Introduction

Wang Cheung, based in Astoria, NY, is a notable inventor recognized for his contributions to the field of data asset management. With a focus on streamlining data sharing and distribution in enterprise environments, Cheung has developed innovative solutions that enhance how organizations manage their data assets.

Latest Patents

Wang Cheung holds a patent for a revolutionary "Method for managing data assets in an enterprise data marketplace." This patent describes a system and method for creating a centralized data asset marketplace within a single network or cloud platform. Key features of his invention include a user interface layer that provides access to various data assets, an access control and audit component to record user interactions, and a single sign-on feature to facilitate user access. The method encompasses registering data assets and metadata, searching for assets, sharing data, and managing authorization for selective execution, ultimately enhancing operational efficiency in data management.

Career Highlights

Wang Cheung is currently employed at The Guardian Life Insurance Company of America, where he applies his expertise in data management strategies. His innovative approach has contributed to the development of more effective systems within the company, showcasing his commitment to advancing technology in the insurance sector.

Collaborations

In his professional journey, Cheung has collaborated closely with colleagues such as Alex Rosenthal and Daniel Johnson. Together, they have worked on various projects that aim to improve data management practices and develop new strategies for effective data utilization within their organization.

Conclusion

Wang Cheung’s innovative mindset and his patent for managing data assets demonstrate his significant contribution to the technological landscape. His work not only supports The Guardian Life Insurance Company of America but also sets a precedent for future innovations in data asset management, paving the way for more efficient and secure data handling techniques in various industries.