Keystone Strategy Enables Machine Learning Application to Tackle Trademark Issues
SAN FRANCISCO (PRWEB) — Keystone Strategy, an economics and strategy consulting firm, debuts a novel technology to measure trademark infringement by analyzing millions of images in seconds. This unique application, developed by the Keystone Intellectual Property Group in collaboration with the Keystone Advanced Technology Services (K.ATS), team, will be presented today at a poster session at the National Association of Business Economists – Tech Economics Conference (NABE-TEC). The Keystone Team of authors consists of Cedric Garcia, Shehryar Hasan, Samantha Price, Alissa Dubnicki, Sepehr Saroukhani and Mark Karlson.
“Current trademark infringement evaluations are missing an enormous opportunity to develop objective and measurable evidence using machine learning and visual recognition technologies,” notes Cedric Garcia, a Keystone Engagement Manager and co-author of the poster. “After working on many high-profile trademark infringement disputes, we developed a scalable, data driven application that can analyze thousands of images of products and measure their similarity within seconds.”
Artificial intelligence (AI) and Machine Learning are transforming the way technology companies serve consumers, but the impact of these innovations has yet to be fully realized in legal disputes. Keystone’s development of AI and Machine Learning applications will provide the most sophisticated trademark owners and their attorneys with a new legal strategy and evidentiary tool to greatly improve the evaluation of trademark infringement. In addition, the speed and accuracy of Keystone’s technology has broad use outside of the legal industry, from startups creating new products to academic research.
The announcement of this unique application continues Keystone’s mission to bring actual industry experience and the vanguard of academic approaches to consumer, policy and high-tech litigation disputes supporting companies including Facebook, Oracle, Yeti, and Microsoft. It also recognizes the second year in a row that Keystone’s technology has been selected for presentation at NABE’s premier technology conference. In 2017, Keystone was recognized for its development of a suite of applications to analyze innovation in visualizing massive software code bases.
About Keystone
Keystone is an innovative strategy and economics consulting firm delivering transformative ideas to global enterprises and law firms on leading-edge challenges in technology, business, and science. The firm’s Economics and Digital Technology Group applies advanced technical, economic, and engineering knowledge to litigation disputes involving topics like intellectual property, antitrust and tax. Keystone Advanced Technology Services (K.ATS) team focuses on complex issues at the intersection of technology, business, economics, and law. Team members collaborate with some of the world’s foremost computer science academics to develop deep technical analysis in bleeding-edge technologies – Virtual Reality, Machine Learning/AI, Blockchain – for our clients at Fortune 50 technology companies. A part of Keystone’s suite of services and products, K.ATS is called upon to: assess the value of technology assets, advise a client on future technology investments, or partner with our in-house software development team, Keystone Labs, to build a product offering to improve Keystone client delivery. The firm’s expertise in strategy, economics, product development, intellectual property, tax and antitrust is ideally suited to developing bold strategies that have a far-reaching impact on business, consumers, and public policy. Keystone combines the strategic insights of leading experts from Harvard, Stanford, MIT, Wharton and other top universities with the practical industry expertise of its accomplished professionals to deliver extraordinary impact. Learn more at keystonestrategy.com.
About NABE-TEC
Arranged around the theme “Economics in the Age of Algorithms, Experiments, and A.I.,” TEC2018 brings together leading thinkers in economics and data science in an intellectual exchange on how interdisciplinary developments in these fields are impacting today’s approaches, frameworks, tools, and techniques. World-class business economists will elaborate on the emerging and future data science needs in economic research and practice.
