Monday, December 3 | Tuesday, December
| Wednesday, December 5
TUESDAY, DECEMBER 4
7:45 am – 7:00 pm Registration Open
8:00 Continental Breakfast & Presentation Sponsored by Alegion
8:20 KEYNOTE: AI Was Never Meant for Humans
Nathaniel Gates, CEO, Alegion
Most people see AI as an easier way for humans to interact with computers. However, the day is coming when the vast majority of AI interactions are with other AI. Nathaniel will talk about the new intelligent-API that will make this routine.
8:45 Chairperson's Remarks
Eliot Weinman, Founder and Conference Chair, AI
8:50 Honorary Introduction
Governor Michael Dukakis, JD, Harvard
9:00 KEYNOTE: Algorithmic Models of Investor Behavior
Andrew W. Lo, the Charles E. and Susan T. Harris Professor, Professor of Finance, Director of the Laboratory for Financial Engineering, MIT
Sloan School of Management
Financial AI seems so close, yet so far. We have automated trading algorithms, electronic exchanges, robo advisors, and cryptocurrencies, but machines still haven’t replaced portfolio managers, financial advisors, and bankers. So what’s
missing? Not artificial intelligence. We have yet to develop an algorithmic understanding of human behavior as it is, rather than as it should be. We need a theory of artificial stupidity.
9:30 KEYNOTE: Getting on the Road to Artificial General Intelligence
Danny Lange, PhD, Vice President, AI and Machine Learning, Unity Technologies
this keynote session by AI visionary Danny Lange to discuss the role of intelligence in biological evolution and learning. Mr. Lange will demonstrate why a game engine is the perfect virtual biodome for AI’s evolution. Attendees
will recognize how the scale and speed of simulations is changing the game of AI while learning about new developments in reinforcement learning. They will also understand how this shift can be applied to their own organizations.
10:00 KEYNOTE: AI at Work: from Programming to Learning
Jay Bellissimo, Managing Partner, Cognitive Process
Transformation, IBM Services
We are in The Learning Era, a new technology era in which the winners will be the companies that have the knowledge and the ability to train the systems to get the most value out of them. Enterprises that have years of accumulated know-how will
differentiate themselves and win in this era by infusing AI into customer engagement, employee expertise and business processes.
10:20 Grand Opening Coffee Break in the Exhibit Hall with Poster Viewing
10:50 EXECUTIVE ROUNDTABLE: What Successful Adoption of AI Looks Like
Machine learning may be poised to transform business, but actually adopting it is challenging. How have actual
companies put it into practice? How did they hire the right people, how did they set up their teams, and what kinds of projects did they start with? This panel will explore the practical barriers that companies face to adopting AI –
and to getting value from it.
Walt Frick, Senior Editor, Harvard Business Review
Norbert Monfort, Vice President, IT Transformation & Innovation, Assurant
Robert Bogucki, CTO, deepsense.ai
Anju Gupta, PhD, Head of Sustainability Campaign, Syngenta
11:30 EXECUTIVE ROUNDTABLE: Adoption & Integration of AI in Healthcare
Business and technology leaders from the healthcare sector assess how close AI has come to transforming the industry, predicting
patient outcomes and impacting cost. This panel evaluates adoption and integration of AI in Healthcare in addition to exploring the regulatory, technical, and patient data security challenges.
David Ledbetter, Lead Data Scientist, Children’s Hospital Los Angeles
Paul Bleicher, CEO, OptumLabs
PhD, Assistant Professor, NYU Langone Medical Center
Catherine Kreatsoulas Ph.D, Assistant Professor, University of Toronto, Instructor, Harvard School of Public Health
12:20 KEYNOTE: Integrating Machine Learning into Enterprise Business Processes and Products
Stephen Green, Director, Oracle Corp
Oracle Corp. is a leader in enterprise databases via the performance, availability, self-management and resilience Oracle Autonomous Database. In addition to integrating machine learning into the Oracle Autonomous Database, Stephen and his team
works to integrate machine learning and AI into the Oracle SaaS and PaaS enterprise software product line. Learn from Stephen about the challenges and opportunities of integrating AI into the product lines of the world’s largest and
most successful enterprise software company.
5:10 KEYNOTE: The Future of Practical AI
Tyler Schulze, SVP, Veritone Partner, Veritone Inc.
Aaron Edell, Senior Director, Business Development, Ecosystem, Veritone Inc.
Is the future of practical AI tweaking algorithms or mastering training and feedback?
As MLaaS became available, it represented a leap forward in productivity. Use cases like celebrity recognition and logo detection were suddenly
possible and the race was on to provide the highest quantity of recognition. But, was accuracy up to par?
At this informative and thought-provoking keynote, Veritone leaders will reveal their insight on increasing the accuracy
of recognition and detection critical for ROI.