Vancouver, WA, United States of America

Dakota Kidd Kanner


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Dakota Kidd Kanner: Innovator in Data Analytics

Introduction

Dakota Kidd Kanner is a prominent inventor based in Vancouver, WA (US). She has made significant contributions to the field of data analytics, particularly in the area of authorization methods and systems for accessing multiple data sources. Her innovative approach has the potential to streamline data access and enhance security protocols.

Latest Patents

Kanner holds a patent for "Authorization methods and systems for accessing multiple data sources." This data analytics system is designed to authenticate and authorize access to various data sources for one or more requesting devices. The system can duplicate and/or access rule sets included in the metadata of the corresponding data source and read identifiers of authorized users maintained by each of the multiple data sources. By synchronizing access rule sets and authenticated identifiers with requesting device identifiers, the system effectively manages interactions with data from multiple data systems. This innovation reduces the authorization and authentication actions required by both requesting devices and data sources.

Career Highlights

Dakota Kanner is currently employed at Seeq Corporation, where she continues to develop cutting-edge solutions in data analytics. Her work focuses on enhancing the efficiency and security of data access, making her a valuable asset to her team and the industry.

Collaborations

Kanner collaborates with talented professionals such as Jon Peterson and Marius Oancea, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Dakota Kidd Kanner is a trailblazer in the field of data analytics, with her patent and work at Seeq Corporation showcasing her commitment to advancing technology. Her contributions are paving the way for more efficient and secure data access solutions.

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