Tucson, AZ, United States of America

Samantha Jean Wareing


Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):

Title: Innovations by Samantha Jean Wareing

Introduction

Samantha Jean Wareing is an accomplished inventor based in Tucson, Arizona. She has made significant contributions to the field of technology, particularly in machine learning and data management. With a total of two patents to her name, her work reflects a commitment to advancing technical solutions for complex problems.

Latest Patents

Samantha's latest patents include a method for using a machine learning module to rank technical solutions to user-described technical problems. This innovative approach involves searching a solutions database to determine a result set of answer files that relate to the keywords of a user's technical problem description. The machine learning module processes this information to output ranks for the answer files, allowing users to receive tailored solutions based on their specific needs.

Another notable patent focuses on generating preview information related to data migrated to archival storage media. This method identifies data designated for archival and generates a set of preview data corresponding to that archived data. By determining metadata and preferences associated with the archival process, Samantha's invention enhances the efficiency and usability of data management systems.

Career Highlights

Samantha is currently employed at International Business Machines Corporation (IBM), where she continues to innovate and develop new technologies. Her work at IBM has allowed her to collaborate with some of the brightest minds in the industry, further enhancing her contributions to the field.

Collaborations

Some of her notable coworkers include Cecilia Carranza Lewis and Peter Hung Quach. Their collaborative efforts have contributed to the success of various projects within the company.

Conclusion

Samantha Jean Wareing's innovative patents and her role at IBM highlight her significant impact on technology and data management. Her work continues to pave the way for advancements in machine learning and archival processes.

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