Montreal, Canada

Isabelle Giguere

This inventor holds 3 USPTO granted patents, plus 2 CIPO patents. Top assignees: Open Text Corporation, Crowdstrike, Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Isabelle Giguere. Retrieved from https://idiyas.com/inventor/isabelle-giguere

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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3 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Isabelle Giguere

Introduction

Isabelle Giguere is a prominent inventor based in Montreal, Canada. She has made significant contributions to the field of automatic document classification. With a total of 3 patents, her work focuses on enhancing the transparency and efficiency of classification systems.

Latest Patents

One of her latest patents is titled "Reconfigurable model for auto-classification system and method." This innovative system provides classification metrics to users, allowing them to reconfigure the classification model. Users can refine the model by adding or removing exemplars, creating, editing, or deleting rules, and making other adjustments. This technology significantly enhances the overall transparency and defensibility of the auto-classification process.

Career Highlights

Isabelle Giguere is currently employed at Open Text Corporation, where she continues to develop cutting-edge technologies in document classification. Her expertise and innovative mindset have positioned her as a key player in her field.

Collaborations

Throughout her career, Isabelle has collaborated with notable colleagues, including Stephen Ludlow and Steve Pettigrew. These partnerships have further enriched her work and contributed to the advancement of technology in document classification.

Conclusion

Isabelle Giguere's contributions to the field of automatic document classification are noteworthy. Her innovative patents and collaborative efforts continue to shape the future of classification systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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