Charlotte, NC, United States of America

Michael Ilfeld

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: Michael Ilfeld. Retrieved from https://idiyas.com/inventor/michael-ilfeld

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: Michael Ilfeld: Innovator in Supervised Machine Learning

Introduction

Michael Ilfeld is an inventor based in Charlotte, NC, recognized for his significant contributions to the field of automated assistance through his innovative approach to supervised machine learning. With one patent to his name, Ilfeld's work enhances how automated assistants process and respond to user interactions, making them more intuitive and efficient.

Latest Patents

Ilfeld's notable patent, "Supervised Machine Learning for Automated Assistants," explores methods and systems that improve the reliability of automated responses. The patent outlines sophisticated techniques for managing transcripts of user interactions, which include elements such as queries, classifications, intents, and responsive actions. A significant aspect of the invention is a graphical user interface (GUI) that allows users to approve new records while providing notifications of potential conflicts, thus refining the learning process of automation.

Career Highlights

Michael Ilfeld is currently associated with the Teachers Insurance and Annuity Association of America, where he continues his work in innovating automated systems. His role has allowed him to apply his patent within a professional setting, contributing to the advancement of technology that aids both individuals and organizations in managing their automated interactions.

Collaborations

Throughout his career, Ilfeld has collaborated with fellow innovators, including Prem Kumar Sivasankar and Vamsi Pola. These partnerships have fostered an environment of shared knowledge and innovation, driving the development of effective automated solutions.

Conclusion

Michael Ilfeld's work stands as a testament to the possibilities of supervised machine learning in improving automated assistants. With a focus on making technology more responsive and user-friendly, Ilfeld continues to contribute to the evolution of automated systems, paving the way for future developments in the field.

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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