Episode 19 | Dr. Emile Servan-Schreiber, Managing Director @ Hypermind | Crowd-Forecasting and Collective Intelligence
Posted on Sunday, Nov 6, 2022 | Category: Cloud Technology | Series: Exploring the Cloud | Forecasting, Intelligence
Show Notes
Episode #19 of “Can I get that software in blue?”, a podcast by and for people engaged in technology sales. If you are in the technology presales, solution architecture, sales, support or professional services career paths then this show is for you!
Your hosts Steve Mayzak and Chad Tindel are joined by Dr. Emile Servan-Schreiber, Managing Director at Hypermind where he has pioneered many business applications of prediction markets and collective intelligence. He holds degrees in Computer Science, Applied Mathematics and a Ph.D. in Cognitive Psychology from Carnegie Mellon.
Emile goes very deep into his research in the science of Collective Intelligence and how people can become smarter by borrowing the brains of others in their networks and describes the platforms his company Hypermind has built to help companies and governments use prediction markets to solve problems facing their organization.
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Links mentioned in the episode:
Emile’s Company, Hypermind: https://www.hypermind.com
Hypermind Prediction Contests: https://predict.hypermind.com/
Google CEO uses crowd intelligence: https://www.cnbc.com/2022/07/31/google-ceo-to-employees-productivity-and-focus-must-improve.html
Guests
Emile Servan-Schreiber
Dr. Emile Servan-Schreiber is a cognitive scientist and entrepreneur specializing in business and political applications of prediction markets and other collective intelligence technologies. His latest book on the topic was published in France by Fayard (Paris) in 2018: “Supercollectif - la nouvelle puissance de nos intelligences”
Since 2000, as a founder of Hypermind, he has pioneered many business applications of prediction markets for dozens of leading companies on all continents (except Antarctic). Since 2012, Hypermind has participated in several IARPA research programs about crowd-based and hybrid forecasting systems.
He holds degrees in Computer Science and Applied Mathematics as well as a Ph.D. in Cognitive Psychology from Carnegie Mellon and in 2019 joined the international faculty of the UM6P School of Collective Intelligence, the first of its kind in the world, where he is teaching a graduate course in crowd-based forecasting.
His work on prediction markets has been featured in the best-selling book The Wisdom of Crowds, as well as in leading print media such as The New York Times, The Economist, The Financial Times, BusinessWeek, Time, Newsweek, The New Yorker, The Wall Street Journal, Nature, Le Figaro, Le Monde, Le Point, L’Express, La Tribune, Liberation, and Volkskrant.