Christopher Wavil Moody

Title: Innovations by Christopher Wavil Moody

Introduction

Christopher Wavil Moody is an accomplished inventor based in Rockmart, Georgia. He has made significant contributions to the field of entity recognition and data matching. With a total of two patents to his name, Moody's work focuses on improving the accuracy and efficiency of record matching processes.

Latest Patents

Moody's latest patents include "Methods and systems for improved entity recognition and insights" and "Methods and system for determining a most reliable record." The first patent outlines a system that generates deterministic rules based on patterns of attribute comparison outcomes from known matched and unmatched records. This system enhances the speed and accuracy of verification processes by providing human-readable justifications for match outcomes. The second patent describes a method for determining the most reliable demographic fields data associated with an entity. It involves receiving multiple records, identifying corresponding demographic fields, and calculating reliability scores to determine the most reliable data.

Career Highlights

Christopher Wavil Moody is currently employed at Experian Health, Inc., where he applies his expertise in entity resolution and data matching. His innovative approaches have contributed to advancements in the field, making significant impacts on how organizations manage and analyze data.

Collaborations

Moody has collaborated with notable colleagues, including John Taylor Dennis and Sean Daniel Reisz, to further enhance the capabilities of their projects and initiatives.

Conclusion

Christopher Wavil Moody's contributions to the field of entity recognition and data matching demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex data systems and a drive to improve accuracy in record matching processes.