Seattle, WA, United States of America

Randi Scheinblum Ryan

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2021.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Randi Scheinblum Ryan: Innovator in Data Management Technology

Introduction

Randi Scheinblum Ryan is an accomplished inventor based in Seattle, WA (US). He has made significant contributions to the field of data management through his innovative patent. His work focuses on improving the organization-wide state and classification of data stored in disparate data sources.

Latest Patents

Randi holds a patent for a system that monitors the organization-wide state and classification of data stored in various data sources. The patent describes a computer system that receives data identifying data fields used by sources of data and infrastructure information. This system maintains a storage state database to track information about the data fields. It also provides a graphical user interface that allows users to create, view, modify, and delete data defining classes and rules associated with those classes. The system applies these rules to classify the data fields and visualizes the classification in the context of infrastructure information for the data sources.

Career Highlights

Randi is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data management. His work has been instrumental in enhancing the efficiency and effectiveness of data classification processes within organizations.

Collaborations

Randi has collaborated with notable colleagues, including Farid Kadyrov and Mandy Kathleen Meyers, who contribute to the innovative environment at Microsoft Technology Licensing, LLC.

Conclusion

Randi Scheinblum Ryan's contributions to data management technology exemplify the impact of innovation in the field. His patent reflects a commitment to improving how organizations manage and classify their data.

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