Sandy Springs, GA, United States of America

Katherine C Verbist


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Katherine C Verbist: Innovator in Predictive Maintenance Technology

Introduction

Katherine C Verbist is a notable inventor based in Sandy Springs, GA (US). She has made significant contributions to the field of predictive maintenance through her innovative work. With a focus on enhancing hardware device management, her inventions aim to improve efficiency and reduce downtime in various industries.

Latest Patents

Katherine holds a patent for a "Cognitive prioritization model for hardware device prediction maintenance delivery." This invention outlines a method for providing a maintenance schedule that includes generating a predictive score for failure for each hardware device. The process involves determining service misses during a service window and prioritizing hardware devices based on their predictive scores and business impact factors. This innovative approach allows for a more effective maintenance schedule, ensuring that critical devices are serviced promptly.

Career Highlights

Katherine is currently employed at Kyndryl, Inc., where she continues to develop and refine her innovative ideas. Her work focuses on leveraging machine learning to enhance predictive maintenance strategies. With her expertise, she contributes to the advancement of technology that supports operational efficiency in hardware management.

Collaborations

Katherine collaborates with talented individuals such as Ea-Ee Jan and Zhi Ping Zhou. These partnerships foster a creative environment that encourages the development of groundbreaking solutions in the field of predictive maintenance.

Conclusion

Katherine C Verbist is a pioneering inventor whose work in predictive maintenance technology is making a significant impact. Her innovative patent demonstrates her commitment to improving hardware management through advanced methodologies. As she continues her career at Kyndryl, Inc., her contributions will undoubtedly shape the future of predictive maintenance.

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