Mooresville, NC, United States of America

Daniel J Gibbons

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Teachers Insurance and Annuity Association of America. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel J Gibbons. Retrieved from https://idiyas.com/inventor/daniel-j-gibbons

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 21.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovator Spotlight: Daniel J. Gibbons and His Contribution to Automated Assistants

Introduction: Daniel J. Gibbons, an inventive mind based in Mooresville, North Carolina, has made strides in the field of automated assistants through his innovative approach to machine learning. With a patent to his name, Gibbons is pushing the boundaries of how these digital helpers can enhance user experience and efficiency.

Latest Patents: Gibbons holds a patent for "Supervised Machine Learning for Automated Assistants." This patent discloses methods and systems designed for improving the functionality of automated assistants. The method includes receiving a transcript that contains various records, each consisting of a query, its classification, an associated intent, and the action taken in response. Additionally, the technology incorporates a graphical user interface (GUI) that allows users to approve new records. Importantly, the system can compare new transcript entries with existing records and notify users of any conflicts, ensuring accuracy and reliability in responses.

Career Highlights: Daniel J. Gibbons is employed at the Teachers Insurance and Annuity Association of America, where he applies his expertise in technology and innovation. His role involves working on the development of solutions that leverage automation and machine learning to better serve clients and enhance operational efficiencies.

Collaborations: Gibbons collaborates with notable colleagues, including Prem Kumar Sivasankar and Vamsi Pola, contributing to innovative projects that combine their knowledge and skills in technology and engineering. These collaborations are crucial for driving progress in automated assistance technologies.

Conclusion: With his patent on supervised machine learning for automated assistants, Daniel J. Gibbons exemplifies how innovation in technology can transform user interaction with digital interfaces. His work not only reflects his expertise but also highlights the importance of collaboration in advancing the field. As he continues to innovate, Gibbons remains a key figure in the ongoing development of automated solutions.

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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