Advances in artificial intelligence and data analytics are impacting many industries from financial services to healthcare to communications. This rapidly changing environment is creating tremendous opportunity, and managing the relevant intellectual capital has never been more complex.

Join industry thought leaders and strategy-makers for this one-day, insightful exploration of how leading organizations are creating, protecting and monetizing AI as a form of IP.

Location:
The Proscenium Conference Center
1170 Peachtree Street NE, Midtown Atlanta

Registration Fees

LES Members
Early (ends April 14) $500
Late/Onsite $600

Non-Members
Early (ends April 14) $650
Late/Onsite $800

Keynote Speaker

Vinay Iyengar

Investor, Bessemer Venture Partners

Vinay joined Bessemer in 2017 as an investor in the New York office. He spends his time exploring early-stage software and internet opportunities, with a focus on machine intelligence, infrastructure, marketplaces, and mobile.

His career in venture capital began at Clayton Christensen’s Rose Park Advisors where he led the firm’s exploration of machine intelligence. Previously, he spent time as a quantitative trader at Goldman Sachs, a machine learning engineer at Intel, and co-founded a Harvard Innovation Lab-backed enterprise software startup. He’s also conducted extensive cryptography research leading to two peer-reviewed publications.

Vinay is a graduate of Harvard where he studied computer science and economics. He occasionally blogs on The Vin Diagram, exploring his interests at the intersection of technology, investing, and policy.

Agenda

8:00 AM – 8:45 AM

Networking Breakfast

8:45 AM – 9:00 AM

Opening Remarks / Introduction to Licensing in the Age of AI

9:00 AM – 10:15 AM

Panel One: Training Sets and AI: Identifying and Setting Up the Right Package to Monetize

Data is being generated at an alarming speed and is critical to the success of many organizations. Data types include proprietary information from commercial and industrial processes, customer data, data generated from AI and other analytics, sensitive personal data, and public data. Successful tools, products, and business models frequently require data from multiple sources resulting in combined and derived data sets.

The panel will explore issues around the creation, ownership and monetization of complex mixed data sets. A panel of IP owners from diverse industries will discuss strategies employed to optimize business outcomes while protecting sensitive data and privacy.

Moderator: Charles Macedo, Partner, Amster, Rothstein & Ebenstein LLP

Panel Sponsor: Amster, Rothstein & Ebenstein LLP

10:15 AM – 10:45 AM

Networking Break

10:45 AM – 12:00 PM

Panel Two: Owning What AI Creates

On August 1, 2019 the University of Surrey issued a press release claiming that it was pursuing US and European patent protection for the world’s first AI invention. Shortly thereafter on August 21, 2019, the USPTO promulgated a “Request for Comments on Patenting Artificial Intelligence Inventions”, and in October 2019 expanded the RFC to include examination of copyright, trade secret, and trademark protections for works and outputs generated by AI. While some believe that AI technology is a long way off from creating inventions or works without intervention or involvement by humans, businesses and governing bodies are preparing now for the day when the creative genius in their midst is comprised of zeros and ones.

We will discuss the challenges facing the scope of patent, copyright, and trade secret protections, and techniques for using licensing terms to protect against gaps in IP protections. Our panelists will discuss the state of the AI ecosystem across several industries, and trends to look out for as the AI economy continues to evolve.

Moderator: Chad Rutkowski, Partner, Baker Hostetler

Panelists

Sam Zellner, Executive Director Innovation, AT&T
Dean Alderucci, Director of Research, Center for AI and Patent Analysis, Carnegie Mellon University

12:00 PM – 1:15 PM

Luncheon and Keynote Address

Keynote Speaker: Vinay Iyengar, Investor, Bessemer Venture Partners

1:30 PM – 2:45 PM

Panel Three: AI Commercialization

Artificial Intelligence and Machine Learning are not new concepts or uses in commercialization, and with the rise of smart machines and robotics, AI and ML are on the tips of everyone’s tongues these days. The industry applications of these are vast: pharmaceutical, finance, healthcare, automotive, retail, and many others are trying to deploy and scale these systems. This panel will review case studies of a few industry perspectives in how to license, commercialize, integrate, and deploy these technologies into company product offerings.

Moderator: Nila Bhakuni – Director, Technology Transfer, Dartmouth College

2:45 PM – 3:15 PM

Networking Break

3:15 PM – 4:30 PM

Round Table Discussion Session

Topics include:

Ethics in the world of AI
Valuation of AI based technologies
Strategies for managing mixed and derived data sets
Protection Strategies (patent, design patent, copyright)
Leveraging AI in your core product or service offering

4:30 PM – 6:00 PM

Networking Reception

Host Sponsor

Experience the LES Community and knowledgebase concentrated into a single day.

LES Leading Edge events are designed to explore a wide range of intellectual property and licensing issues at the forefront of the innovation economy with intensive analysis in one day. You receive the benefits of a national conference in a concentrated format for the greatest return on your time. Join us and energize your approach, expand your community, promote your ideas, and propel your career.