8:20 Continental Breakfast & Presentation Sponsored by Interactions 
Interactions Executive to be Announced 

9:00 – 12:00 AI World Executive Summit - View Details
Hosted By
Is your business ready for harnessing AI and intelligent technologies? A recent study of 3,000 business executives from large enterprises globally has indicated that 85% of these organizations view the deployment of AI as strategically imperative, however less than 5% have seen any success to date. How will AI impact your customers, partners, and employees? These big questions and many more are on the minds of business leaders, CEOs, CMOs, CDOs, and CIOs. The AI World Executive Summit provides business executives with a strategic look at the state of the practice in enterprise AI across multiple vertical industries, including Healthcare and Financial Services.


5:10 KEYNOTE: AI Trends & Driverless Self-Driving Cars: What’s Now, What’s Next
Lance B. Eliot, PhD, CEO, Techbrium, Inc.; AI Trends Insider
Predicted to have a trillion-dollar economic impact and bring forth the "passenger economy," self-driving cars operating as true autonomous vehicles is the moonshot-like effort being undertaken by the auto makers and numerous tech firms. Here from one of the worlds’ foremost experts, Dr. Lance Eliot, AI Trends Insider, who has recently published more than 150 articles on self-driving cars and has recently authored his 11th book on the subject. For more info, click here.  

Dr. Eliot’s informative and invigorating session covers the gamut of AI areas including machine learning, natural language processing, vision system processing, edge computing, blockchain, IoT, expert systems, AI action planning, human computer interfaces, and other timely topics. You will discover the good, the bad, and the ugly about present day AI self-driving cars and predictions of where this field is heading.

Monday, December 3  |  Tuesday, December 4   |  Wednesday, December 5


8:20 Continental Breakfast & Presentation Sponsored by Alegion 

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.

8:55 Chairperson's Remarks
Eliot Weinman, Founder and Conference Chair, AI World  

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

Lange_DannyDanny Lange, PhD, Vice President, AI and Machine Learning, Unity Technologies 
Join 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,





Tsvi Gal, CTO Infrastructure, Morgan Stanley


Anju Gupta, PhD, Head of Sustainability Campaign, Syngenta

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


Bleicher_PaulPaul Bleicher, CEO, OptumLabs

and others to be announced

5:00 KEYNOTE: Beyond the Hype: Accessible and Actionable AI

Chad Steelberg, Chairman & CEO, Veritone

The explosion of narrowly focused, highly specialized cognitive engines combined with ever-increasing sources of unstructured data will require novel approaches to fully realize the future of artificial intelligence.
The best business and technology strategies to accelerate AI deployment and ROI, applicable to virtually any industry or organization, will include the following key components:

  • Aggregation of specialized cognitive engines in a diverse ecosystem
  • Simplicity of access and use for end users via SaaS platforms
  • Continuously learning orchestration systems
  • A spectrum of deployment from centralized (cloud) to highly decentralized (Edge/IoT)
  • The melding of hardware and softwareEngines building engines

What does this mean for the AI community? We now have the ability to propel AI forward faster, make it more scalable for the enterprise and enable it to become more accessible for all.



8:55 Chair's Remarks

Eliot Weinman, Founder and Conference Chair, AI World

9:05 KEYNOTE: Exploiting AI to Drive Business Outcomes

Kutnick_DaleDale Kutnick, Senior Vice President, Emeritus, and Distinguished Analyst Gartner, Inc. 

AI is being over-marketed and sold as a solution to future (digital) business growth and profitability. Software and solution vendors are making extravagant claims about their products and services. But many CIOs and business leaders are struggling to nurture and exploit AI initiatives and Proofs of Concepts, and to integrate (and scale) them into their operations that will drive future business outcomes. This session will explore 5 year enterprise scenarios for AI-based software and services, offer current and future use cases, delineate some of the caveats and highlight the critical technologies and capability building blocks that will be required to succeed.  


Executive Speaker to be Announced


10:00 EXECUTIVE ROUNDTABLE: Enterprise AI Innovation

Technology strategy is directly tied to the mission and values of the enterprise. Successful companies are implementing AI solutions to address changing market environments, new competitive landscapes, and kindle the creative potential of their workforce. In this roundtable discussion, technology leaders from innovative companies share how their organizations are embracing AI technologies, removing barriers, and preparing employees for the future of work. The panel will explore the use of AI and automation, and its roles in transforming organizations and fostering a culture of innovation in the enterprise.

Nick Patience, Co-Founder & CRO, 451 Research



Kurtoglu_TolgaTolga Kurtoglu, PhD, CEO, PARC

Grobman_SteveSteve Grobman, Senior Vice President, Chief Technology Officer (CTO), McAfee

Srinivasan_ShankarShankar Srinivasan, Head of Engineering, Adobe Cloud Platform, AI and ML, Adobe


10:40 KEYNOTE: Practical AI Ethics, Opportunities, and Pitfalls for Organizations 

David Bray, PhD, Faculty, Singularity University & Senior Fellow, Institute for Human-Machine Cognition

There has been much discussion about if and how organizations can assure that a machine or algorithm behaves ethically, isn’t biased, and avoids causing injury or harm. These conversations should have been occurring in organizations already regarding use of big data analytics and data obtained from Internet of Things devices. This talk will focus on practical steps organizations can do to be more people-centered in their endeavors.  

11:00 Coffee Break in the Exhibit Hall with Poster Viewing

11:45 AI in Canada

Inmar Givoni, PhD, Machine Learning at University of Toronto, Autonomy Engineering Manager, Uber ATG

12:10 EXECUTIVE ROUNDTABLE: State of International AI Initiatives and their Impact on the Global 2000

Artificial intelligence, robotics, and automation are a truly global phenomenon. Recent government policy recommendations highlight investments in scientific research, infrastructure development, and the need to accelerate adoption across the value chain. These strategies encourage the reskilling and training of the labor force all while promoting ethics, privacy, and security. For AI to achieve country, region, and global scale, market sectors with the greatest social benefit must be identified. This panel of global executives and policymakers discusses the state of international AI initiatives and explores the impact it will have on global 2000 corporations.

Moderator: Anthony Scriffignano, PhD, Senior Vice President & Chief Data Scientist, Dun & Bradstreet
Panelists: Kazuo Yano, PhD, Fellow, Hitachi, Ltd.

David Bray, PhD, Faculty, Singularity University & Senior Fellow, Institute for Human-Machine Cognition

Day 1 | Monday, December 3

Morning Program
Networking Lunch
Concurrent Afternoon Programs
Evening Program
Attendee Breakout Discussions

Day 2 | Tuesday, December 4

Morning Program
Networking Lunch
Concurrent Afternoon Programs
Evening Program
Networking Reception

Day 3 | Wednesday, December 5

Morning Program
Networking Lunch
Concurrent Afternoon Programs