Streetsboro, OH, United States of America

Donald K Wedding, Jr


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 41(Granted Patents)


Company Filing History:

goldMedal2 out of 832,718 
Other
 patents

Years Active: 2015-2019

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2 patents (USPTO):Explore Patents

Title: Innovations by Donald K Wedding, Jr.

Introduction

Donald K Wedding, Jr. is an accomplished inventor based in Streetsboro, OH (US). He has made significant contributions to the field of data analysis and risk assessment through his innovative patents. With a focus on applying expert usage-based data, his work has implications across various industries, particularly in automobile insurance.

Latest Patents

Donald K Wedding, Jr. holds 2 patents. His latest patents include a "Method for applying expert usage based data," which creates a score or value based on the difference between non-expert and expert usage data. This score can be utilized in various situations, such as assessing risk, training, operator classification, and identifying the expertise level of an operator. Another notable patent is the "Method for applying usage based data," which measures the volatility of usage-based data. This method allows for inferences regarding the operators of a system and the environment in which it operates, with applications in consumer automobiles and the automobile insurance industry.

Career Highlights

Throughout his career, Donald K Wedding, Jr. has demonstrated a commitment to innovation and practical applications of his inventions. His work has been instrumental in enhancing the understanding of operator behavior and system performance, particularly in the context of risk assessment and optimization.

Collaborations

Donald has collaborated with notable individuals such as Daniel Keith Wedding and Carol Ann Wedding, contributing to a dynamic environment of innovation and creativity.

Conclusion

Donald K Wedding, Jr. continues to be a significant figure in the realm of data-driven innovations. His patents reflect a deep understanding of the complexities of usage-based data and its applications across various sectors.

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