Attention Alliances Members: To access the discount code to AI World, please visit the Members Discount page for $200 off registration.
Now in our fourth year, AI World Conference and Expo has become the industry’s largest independent business event focused on the state of the practice of AI in the enterprise. The AI World 3-day program delivers a comprehensive spectrum of content, networking, and business development opportunities, all designed to help you cut through the hype and navigate through the complex landscape of AI business solutions. Attend AI World and learn how innovators are successfully deploying AI and intelligent automation to accelerate innovation efforts, build competitive advantage, drive new business opportunities, and reduce costs.
AI World 2019 features a significant expansion of content coverage, including the addition of pre-conference half-day seminars on topics such as AI in Customer Analytics, AI & Cybersecurity, and AI for Business Leaders. Our main conference program has been expanded to include focused tracks covering a multitude of industries and technology topics such as Financial Services, AI in Healthcare, AI in Pharma, AI in Retail and eCommerce, AI in Energy, AI in Manufacturing, Emerging AI Research, and much more. In addition, over three days you'll have 15+ hours to network with industry leaders and your peers, including our popular birds of a feather networking reception, and you will gain access to our state of the art mobile app which enables attendees to schedule their own meetings throughout the conference.
For more information, please visit: aiworld.com
Keynote Address:
Enhancing Human Capability with Intelligent Machine Teammates
Speaker:
Julie Shah, Associate Professor of Aeronautics and Astronautics, MIT
Abstract:
Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. These top performers include nurses who run hospital floors, emergency response teams, air traffic controllers, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms, they cannot often tell us how they do it. Similarly, even when a machine can do the job better than most of us, it can’t explain how. In this talk I share recent work investigating effective ways to blend the unique decision-making strengths of humans and machines. I discuss the development of computational models that enable machines to efficiently infer the mental state of human teammates and thereby collaborate with people in richer, more flexible ways. Our studies demonstrate statistically significant improvements in people’s performance on military, healthcare and manufacturing tasks, when aided by intelligent machine teammates.
