Company Filing History:
Years Active: 2022
Title: Granger Huntress: Innovator in Machine Learning and Artificial Intelligence
Introduction
Granger Huntress is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of artificial intelligence through his innovative patent. His work focuses on enhancing the efficiency of prospect determination for companies using machine learning techniques.
Latest Patents
Granger Huntress holds a patent for a "Machine learning classifier and prediction engine for artificial intelligence optimized prospect determination on win/loss classification." This invention embodies a system and method for identifying and prioritizing company prospects by training classifiers on client company win/loss metrics. The system utilizes a training database compiled from a company's win/loss records and firmographic data from a comprehensive business entity database. Once trained, the AI can classify and output customized prospect lists of thousands of profiled and scored companies that are likely targets for specific marketing and sales efforts. Additionally, the AI can analyze databases of client targets and classify them based on the custom-trained classifier.
Career Highlights
Granger Huntress is currently employed at The Dun & Bradstreet Corporation, where he applies his expertise in machine learning and artificial intelligence. His innovative approach has positioned him as a key player in the development of advanced prospecting tools that leverage AI technology.
Collaborations
Granger has collaborated with notable colleagues, including Alexander T Schwarm and James Beveridge, who contribute to the innovative environment at The Dun & Bradstreet Corporation.
Conclusion
Granger Huntress is a pioneering inventor whose work in machine learning and artificial intelligence is shaping the future of prospect determination in business. His contributions are invaluable in optimizing marketing and sales strategies through advanced technology.