ML4 Patents Webinar Series
May 18, 2022
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Patent Quality through Artificial Intelligence (PQAI)
PQAI is an Open-Source AI-based not-for-profit initiative focused on creating a library of Intellectual Property (IP) software components specifically designed to accelerate innovation. We believe establishing an Open-Source forum for IP tools will drive critical changes to the patent ecosystem in a manner similar to what Linux did for computing. The PQAI search engine is one example of how these components can be assembled to create new and useful tools. The empowering of all inventors with advanced IP tools will drive more diversity and inclusion which will accelerate the pace of innovation. Additionally, this will improve the patent process by providing transparency and raising patent quality.
Agenda
Sam Zellner is the Project Lead for the Patent Quality through AI project and the founder of InspireIP which enables companies to more efficiently manage their innovation process. He is on the board of the United States, Georgia, and Illinois Intellectual Property Alliances. His experience includes leading the development and monetization of AT&T’s wireless patent portfolio, creating AT&T’s internal crowdsourcing innovation program, and being an inventor on more than 200 patents. In addition, Sam is an IAM Top 300 IP Strategist. His formal education includes an engineering degree from Northwestern University and an MBA from the University of Chicago.
Mahesh Maan leads the technical development efforts on PQAI. He also heads the data science team at GreyB. Passionate about patent searching and computer programming, he tries to combine the two to build tools for effectively exploring patent data.
Anthony (Tony) Trippe is Managing Director of Patinformatics, LLC. Patinformatics is an advisory firm specializing in patent analytics and landscaping to support decision making for technology based businesses. In addition to operating Patinformatics, Mr. Trippe is also an Adjunct Professor of IP Management and Markets at Illinois Institute of Technology teaching a course on patent analysis, and landscapes for strategic decision making. Tony is an influential thought leader in the patent analysis space, wrote the Guidelines for the Preparation of Patent Landscape Reports for the World Intellectual Property Organization, has been named one of the Top 300 IP Strategists by IAM Magazine, and is the developer of ML4Patents.com the industry's online resource for the use of machine learning and artificial intelligence in the field of Intellectual Property.
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