Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY

XPRIZE Workshop: Using AI for Impact

amir banifatemi (Xprize), Balazs Kegl (CNRS)
11:05am11:45am Thursday, June 29, 2017
Interacting with AI
Location: Murray Hill E/W Level: Intermediate

Prerequisite Knowledge

  • General knowledge of AI frameworks and machine learning

What you'll learn

  • Explore the XPRIZE Foundation
  • Learn a practical framework to interact with AI and how data scientists, machine learning practitioners, and business and problem owners can collaborate to use AI for applications that solve humanity’s largest problems


Amir Banifatemi and Balazs Kegl discuss the XPRIZE Foundation, which has launched the largest global AI competition to use AI for impact, outlining the foundation’s goals, what the prize entails, and what the 146 teams from 22 countries are working on. One of the teams will share its project and explore various methods and practical ways to interact with AI.

Photo of amir banifatemi

amir banifatemi


Amir Banifatemi leads artificial intelligence at XPRIZE Foundation and is managing partner of K5 Ventures. Amir has 25 years of experience in development and growth of emerging and transformative technologies. He began his career at the European Space Agency and then held executive positions at Airbus, AP-HP, and the European Commission Division for Information Society and Healthcare. He has contributed to the formation of more than 10 startups with emphasis on predictive technologies, the IoT, and healthcare. Amir is a guest lecturer and an adjunct MBA professor at UC Berkeley, Chapman University, Claremont McKenna College, UC Irvine, and HEC Paris. He holds a master’s degree in electrical engineering from the University of Technology of Compiègne, a PhD in system design and cognitive sciences from the University Paris Descartes, and an MBA from HEC Paris.

Photo of Balazs Kegl

Balazs Kegl


Balázs Kégl is a senior research scientist at CNRS and head of the Center for Data Science of the Université Paris-Saclay. He has been in machine learning research for 20 years and is the cocreator of RAMP.