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• Case | HBS Case Collection | June 2016 (Revised August 2019)

  Numenta: Inventing and (or) Commercializing AI

  David B. Yoffie, Liz Kind and David Ben Shimol

  In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was founded in 2005 to expand Hawkins' research on the human brain, with the goal of "reverse engineering the neocortex" and then creating machines based on biological principals. Ultimately, Hawkins believed that Numenta could be a catalyst in creating intelligent machines that would lay the foundation for the next generation of computing with potentially broad ranging commercial opportunities.

  Keywords: artificial intelligence; machine intelligence; Machine learning; strategy; technological innovation; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Technology; Software; Technology Adoption; Technology Platform; Commercialization;

  Citation:

  Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)  View Details

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• Case | HBS Case Collection | June 2018 (Revised August 2019)

  Qualcomm Inc., 2019

  David B. Yoffie and Andrew S. Choi

  This case is set in mid-2019, when Qualcomm was struggling with unwanted take-over battles, fights with Apple and the Chinese government, and internal dissension on the board of directors. Ten years earlier Qualcomm was hailed as a monopoly on CDMA technologies and its derivatives, it appeared to be positioned to become the next dominant technology company in the tradition of Microsoft and Intel. But as the industry changed, Qualcomm’s competitive position seriously weakened. The purpose of the case is to explore central questions in strategy formulation: 1. how to build a long-term sustainable position based on technology; 2. how to design an IP strategy to lock-in customers for the long-run; 3. how to build a global standard and appropriate returns on that standard; and 4. how to respond when your historical business model starts to crumble.

  Keywords: technology cycles; Strategy; Competitive Advantage; Intellectual Property; Technology; Standards; Business Model; Organizational Change and Adaptation; Telecommunications Industry; Semiconductor Industry;

  Citation:

  Yoffie, David B., and Andrew S. Choi. "Qualcomm Inc., 2019." Harvard Business School Case 718-514, June 2018. (Revised August 2019.)  View Details

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• Chapter | The Economics of Artificial Intelligence | 2019

  The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis

  Iain M. Cockburn, Rebecca Henderson and Scott Stern

  Citation:

  Cockburn, Iain M., Rebecca Henderson, and Scott Stern. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis." Chap. 4 in The Economics of Artificial Intelligence, edited by Ajay K. Agrawal, Joshua Gans, and Avi Goldfarb. University of Chicago Press, 2019.  View Details

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