Gilroy, CA, United States of America

Roy Ronald Riojas Montenegro

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Palo Alto Networks, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Roy Ronald Riojas Montenegro. Retrieved from https://idiyas.com/inventor/roy-ronald-riojas-montenegro

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Roy Ronald Riojas Montenegro: Inventor in Data Management and Visualization.

Introduction

Roy Ronald Riojas Montenegro is an inventor based in Gilroy, California. His patent work focuses on applying artificial intelligence to data management and visualization.

Latest Patents

Riojas Montenegro is associated with 1 patent, titled “Utilizing Artificial Intelligence for Data Management and Data Visualization.” The invention generates an initial dashboard using a machine-learning model and user settings. After receiving follow-up prompts, the system identifies and retrieves the data needed to respond, using one or more data catalogs, and generates subsequent dashboards tailored to the user.

Career Highlights

Riojas Montenegro is associated with Palo Alto Networks, Inc. His patent describes an interactive approach to dashboard creation that uses artificial intelligence to adapt visualizations in response to user prompts.

Collaborations

His listed coworkers include Zana Vosough and Gino John.

Conclusion

Roy Ronald Riojas Montenegro’s patent highlights an AI-driven approach to data management and visualization, combining user settings, follow-up prompts, and data catalogs to generate responsive dashboards.

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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