Normal, IL, United States of America

Shawn Perrone

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Innovations by Shawn Perrone

Introduction

Shawn Perrone is an accomplished inventor based in Normal, Illinois. He has made significant contributions to the field of cognitive computing, particularly in the development of systems that enhance user interaction and performance evaluation. With a total of 2 patents, his work is recognized for its innovative approach to question-answering technologies.

Latest Patents

Shawn's latest patents focus on a system and method for evaluating the performance and usage of a question-answering cognitive computing tool. This system includes a log file that records interactions, capturing questions, answers, and a confidence rating assigned by the tool. The analysis of these interactions helps determine the validity and accuracy of the responses, with insights provided by subject matter experts or text analytics tools. Additionally, user comments and sentiments are analyzed and incorporated into the log file. The system also allows for the inclusion of user demographics and locations, presenting data in a dashboard format that highlights trends and performance metrics. Selectable filters enhance the user experience by allowing control over the displayed data.

Career Highlights

Shawn Perrone is currently employed at State Farm Mutual Automobile Insurance Company, where he applies his expertise in cognitive computing. His role involves collaborating with a team of professionals to innovate and improve the company's technological offerings.

Collaborations

Some of Shawn's notable coworkers include Sunitha Garapati and Matt Floyd, who contribute to the collaborative environment that fosters innovation within the company.

Conclusion

Shawn Perrone's work in cognitive computing exemplifies the intersection of technology and user experience. His patents reflect a commitment to enhancing the performance of question-answering systems, making significant strides in the field.

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