Crowds, IOT and AI Business Models

Dec 20, 2018 | 0 comments


February 20th, 12:00-14:00, in Amphi Calori:


by Prof. Christopher TUCCI – Professor of Management of Technology at the Ecole Polytechnique Fédérale de Lausanne (EPFL)

discussant: Laurent Bianchini – Connected Services Vice President – Renault Trucks

Abstract: This talk is for a broad, general audience.  We review sources of data that come from crowds and/or sensors and how they can be exploited for innovation.  We discuss how firms might consider investing in Industry 4.0.  We then discuss business models and business model innovation before delving into new business models that take advantage of artificial intelligence, which in this particular case is oriented toward analyzing crowd or sensor data.  We finish the talk with a discussion on why it is so difficult to reconfigure incumbents’ business models.


Christopher L. Tucci is Professor of Management of Technology at the Ecole Polytechnique Fédérale de Lausanne (EPFL), where he holds the Chair in
Corporate Strategy & Innovation. He is Visiting Thought Leader at CEIBS in Shangai, China.  He received the degrees of Ph.D. in Management from the
Sloan School of Management, MIT; SM (Technology & Policy) from MIT; and BS (Mathematical Sciences), AB (Music), and MS (Computer Science) from Stanford University. He was an industrial computer scientist involved in developing Internet protocols and applying artificial intelligence tools. Professor Tucci joined EPFL in 2003 where he teaches courses in Design Thinking, Digital Strategy, and Innovation Management. His primary area of interest is in how firms make transitions to new business models, technologies, and organizational forms. He also studies crowdsourcing, Internetworking, and digital innovations.

Prof. Tucci has published articles in, among others, Academy of Management Review (AMR), SMJ, Management Science, Research Policy, Communications of
the ACM, SEJ, Academy of Management Annals, and JPIM.  His article with Allan Afuah, “Crowdsourcing as solution to distant search,” won the Best Paper of
2012 for AMR.  He is currently an Associate Editor of Academy of Management Discoveries.  He has served in leadership positions in the Academy of Management (AOM) and the Strategic Management Society.