Everything you need to know about protecting AI algorithms with IP

Abstract: 

When considering Intellectual property rights typically you think of patents, trademarks and the like. But what about the IP architected into your algorithms and AI decision pipelines? Beau Walker, a Data Scientist with a degree in Intellectual Property Law, has explored this concept his entire career. Together with Ben Taylor, PHD, they will summarize the basics and deep dive into the key factors you need to know to protect the IP inherent in your AI.

Bio: 

Beau Walker runs a full-stack IP (intellectual property) development lab, Method Data Science (www.methoddatascience.com). They invent, build, and protect creative data science solutions that bring their clients long-term value. Your company’s unique intellectual property is a crucial asset, that when developed and protected strategically can transform your success as a business. He has a JD in Intellectual Property Law and have years of experience inventing, drafting patents, and developing and executing IP strategy. Over the past few years he has invented hundreds of patentable inventions for his clients, some of which have been granted patents. As a data scientist, he is a generalist: his experience includes custom intellectual property development (he's invented a number of custom proprietary machine learning algorithms), AI / machine learning, business analytics, data collection, data engineering and architecture, software development, study design, data preparation, experimental design, algorithm and model development, reporting, and data visualization. He has worked with dozens of startups and small businesses in a variety of industries, including biotech and pharma, legal and legal services, insurance, financial services, sports and entertainment, IOT, and marketing and sales