Publications

June 2016 (Revised August 2019)
Case

Numenta: Inventing and (or) Commercializing AI

By: 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... View Details

Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning

January 2025
Case

Hebbia: Redefining Productivity for Knowledge Workers Using AI

By: Suraj Srinivasan and Minoshka Narayan

In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details

Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Banking Industry; Financial Services Industry; Technology Industry; United States; New York (city, NY)

March 10, 2025
Article

How Gen AI Could Change the Value of Expertise

By: Joseph Fuller, Matt Sigelman and Michael Fenlon

In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details

Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career

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01 Feb 2021
News

Confidence, uncertainty, and trust in AI affect how humans make decisions

April 2024
Case

Managing AI Risks in Consumer Banking

By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak

In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details

Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe

2025
Working Paper

Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang

Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details

Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making

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November 2023
Case

Copilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright and Sarah Mehta

This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details

Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California

24 Sep 2021
News

AI Use in Hiring Means Women with Employment Gaps Get Overlooked

November–December 2022
Article

Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It

By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer

Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products... View Details

Keywords: Sales; AI and Machine Learning; Customers