Alpharetta, GA, United States of America

Sanjeev Kudesia


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Sanjeev Kudesia: Innovation in Information Collaboration Management

Introduction

Sanjeev Kudesia is an accomplished inventor based in Alpharetta, GA, recognized for his contributions to information technology. With one patent to his name, he exemplifies the spirit of innovation within the tech industry.

Latest Patents

Sanjeev's notable patent is titled "Flexible and Resilient Information Collaboration Management Infrastructure." This invention introduces a computer-implemented method, apparatus, and computer usable program code designed for cross-silo query and data retrieval. The patent outlines a process for receiving a request to access a data object in a trusted database, which includes a unique identifier or metadata attribute value pairs. It identifies related data objects stored across various trusted databases within an enterprise system, enhancing data retrieval efficiency and collaboration.

Career Highlights

Sanjeev Kudesia holds a significant position at the International Business Machines Corporation (IBM), where he contributes to advancing technology solutions. His work focuses on improving information management systems, ensuring that organizations can collaborate effectively and securely across different data silos.

Collaborations

Within IBM, Sanjeev collaborates with esteemed colleagues such as Lawrence Allen Hurst, Jr. and Guan-Hua Kong. Their collective expertise fosters innovation and supports the development of cutting-edge technologies that address real-world challenges in data management.

Conclusion

In conclusion, Sanjeev Kudesia is a noteworthy inventor in the realm of information collaboration management. His contributions underscore the importance of innovative solutions in today’s data-driven world. As he continues to work at IBM, his inventions will likely pave the way for more efficient and resilient data retrieval methods in the future.

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