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Vancouver, BC, Canada
August 27 & 28 - Co-Located Events, Tutorials, Labs & Lightning Talks
August 29-31 - Conference
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Ajay Agrawal

Ajay Agrawal, Artificial Intelligence & Machine Learning Expert, Author of Prediction Machines, and Founder of The Creative Destruction Lab
Named the engineer of a “Billion Dollar Breakout” by The Globe and Mail—Dr. Agrawal comes at A.I.’s potential from the perspective of economics. Advances in A.I. and machine learning mean profound opportunities for innovation and investment. As founder of U of T’s Creative Destruction Lab (the “Silicon Valley of the North”), Agrawal unpacks the full potential of A.I. and machine prediction, without spin or jargon. Report on Business Magazine has also named Agrawal to its “Power 50” list of the most influential Canadians to watch, calling him “a key contributor to Toronto’s emergence as a world-class technology ecosystem.” His first book, Prediction Machines: The Simple Economics of Artificial Intelligence is a must-read, sweeping guide—and practical toolkit—for anyone seeking to leverage the disruptive, transformative power of A.I. in the coming decades. Professor
Agrawal and his co-authors also describe the “Simple Economics of Machine Intelligence” in the Harvard Business Review online, and were co-organizers of the research session on the Economics of Artificial Intelligence at the American Economics Association annual conference in Chicago.

Agrawal is also a Research Associate at the National Bureau of Economic Research in Cambridge, MA. As co-founder of NextAI, a not-for-profit, Agrawal helps young entrepreneurs and technologists explore new commercial opportunities that are a direct result of advances in A.I. He is also a co-founder of “Machine Learning and the Market for Intelligence,” an annual conference on the business of artificial intelligence. In addition, he is a co-founder of Kindred, a company that seeks to build machines with human-like intelligence.

Agrawal was awarded Professor of the Year by MBA classes at the Rotman School seven times, the Martin-Lang Award for Excellence in Teaching, and most recently the Distinguished Scholarly Contribution Award in 2017, among several other honors. He conducts research on the economics of artificial intelligence, science policy, entrepreneurial finance, and the geography of innovation. He serves on the editorial boards of multiple management and economics journals and holds a Ph.D. in Strategy and Economics and an M.Eng./MBA from the University of British Columbia. He served as a Visiting Scholar at MIT, London Business School, and Harvard University, as well as a Visiting Professor at Stanford. deliberation on tough topics that include increasing unemployment and income disparity. This book presents frameworks that allow decision makers to deeply understand the forces at play.