Carlos Minoru Sakoda

Title: Inventor Spotlight - Carlos Minoru Sakoda

Introduction

Carlos Minoru Sakoda is a prominent inventor based in Seattle, WA, USA. With a total of 8 patents to his name, he has made significant contributions to the field of data management and clustering technology.

Latest Patents

Two of Carlos's latest patents showcase his innovative approach to handling data. The first, titled "Multi-level conflict-free entity clusters," proposes a hierarchical clustering scheme that groups similar data records. This method introduces a minimal match score to reflect the confidence level in the clustering process, enabling users to create smaller clusters for higher confidence scores and larger clusters for lower ones. Additionally, this patent addresses user-defined conflicts to enhance the clustering results effectively.

The second, "Merging database tables by classifying comparison signatures," outlines a system for merging database tables through the comparison of record pairs. By generating a feature signature from comparison field values, the invention identifies related record pairs, resulting in a merged database table that retains unique records and promotes efficient data management.

Career Highlights

Carlos Minoru Sakoda is currently employed at Amperity, Inc., where he leverages his expertise to drive innovation in customer data management solutions. His work revolves around creating advanced systems that optimize data retrieval and organization, enhancing the overall efficiency of data usage within organizations.

Collaborations

Throughout his career, Carlos has collaborated with talented professionals such as Stephen Meyles and Yan Yan. These partnerships have enabled the exchange of ideas and fostered an environment of creativity and innovation within their projects.

Conclusion

Carlos Minoru Sakoda stands out as a forward-thinking inventor whose patents reflect a deep understanding of data clustering and management technologies. His contributions not only advance the technical field but also have significant practical applications in the modern data-driven world. As developments continue, Carlos remains an influential figure in shaping the future of data handling innovations.