Publications

June 2024 (Revised September 2024)
Case

Driving Scale with Otto

By: Rebecca Karp, David Allen and Annelena Lobb

This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details

Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain

June 2020
Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha

By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details

Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers

20 Jul 2017
News

Life Lab Nurtures Early Stage Startup Day Zero Diagnostics

recent addition to the Harvard Innovation Labs ecosystem. DZD comprises a multi-disciplinary team of Harvard affiliates whose expertise in medicine, genome sequencing, and machine learning is helping doctors... View Details

Keywords: Scientific Research and Development Services

20 Mar 2017
Book

Why Companies Are Placing Users at the Core of Their Innovation Strategies

on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,... View Details

Keywords: by Dina Gerdeman

March 2022
Article

Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention

By: Brad Chattergoon and William R. Kerr

U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial... View Details

Keywords: Clusters; Invention; Agglomeration; Artificial Intelligence; Innovation and Invention; Patents; Applications and Software; Industry Clusters; AI and Machine Learning

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24 Nov 2008
Research & Ideas

Harvard Business School Discusses Future of the MBA

disciplines, explains Joel Podolny, dean of the Yale School of Management and a participant in the March colloquium. (He previously was a professor at HBS.) "The strict disciplinary model of management education arose at a time of... View Details

Keywords: by Roger Thompson & HBS Bulletin; Education

Web

Introduction - The Audience - The Human Factor – Baker Library | Bloomberg Center, Historical Collections

powerful industrial enterprise to which satisfied workers devoted themselves. Fortune magazine, for example—the quintessence of sophistication in graphic design and photojournalism—catered to the elite managerial class, portraying the interaction of worker and View Details

Research Summary

Overview

By: Todd A. Lensman

My research focuses on macroeconomics and innovation, combining theory and empirical methods to explore how new technologies drive economic growth and how firms shape the innovation and adoption of new technologies. View Details

Keywords: Artificial Intelligence; Innovation; Technological Change; Economics; Macroeconomics; Economic Growth; AI and Machine Learning; Technological Innovation; Innovation and Invention

January 2025
Article

Reducing Prejudice with Counter-stereotypical AI

By: Erik Hermann, Julian De Freitas and Stefano Puntoni

Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details

Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks

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Web

Greg Lipstein Archives | Social Enterprise

Curriculum Social Enterprise Student Club Social Entrepreneurship Summer Fellows Technology for Good Transformative Impact Tri-Sector Impact 1 Results Machine Learning for Social Impact Greg Lipstein 21 Dec... View Details

June 2025
Case

AI Wars in 2025

By: Andy Wu and Anna Yang

In June 2025, Google leaders in Mountain View, CA convened after its parent company Alphabet shed a quarter-trillion in market capitalization in a matter of months. The immediate spark—the quiet revelation that Google searches had dipped for the first time in 20... View Details

Keywords: AI and Machine Learning; Technology Adoption; Disruptive Innovation; Mission and Purpose; Business Strategy

July–August 2025
Article

Don’t Let an AI Failure Harm Your Brand

By: Julian De Freitas

How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind. To do that, they must first understand consumers’ unique attitudes toward AI. Marketers who... View Details

Keywords: AI and Machine Learning; Brands and Branding; Product Marketing; Consumer Behavior; Attitudes

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Web

Neil Band | MBA

track in tech entrepreneurship. Tech areas of interest: I’m fascinated by the application of machine learning, distributed systems, and cryptography to economics and biology. I currently research memory optimization in deep neural network... View Details

September 2023
Case

Super Quantum: Using Artificial Intelligence to Transform Asset Management (A)

By: Feng Zhu and Kerry Herman

Dr. Zhang, CEO of Super Quantum, an AI-driven hedge fund, is considering an investor’s request to withdraw their funds as the markets experience volatility. Should he pull the investor’s funds? View Details

Keywords: AI and Machine Learning; Volatility; Financial Markets; Investment Funds; Decision Choices and Conditions; Financial Services Industry

January 2025
Case

Ontra: Embracing GenAI in the Legal Technology Industry

By: Christopher Stanton and George Gonzalez

Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details

Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Legal Services Industry; United States

2022
Working Paper

The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives

By: Ariel Dora Stern

For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details

Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry

February 2022
Teaching Note

Borusan CAT: Monetizing Prediction in the Age of AI

By: Navid Mojir

Teaching Note for HBS Case No. 521-053. View Details

Keywords: Monetization Strategy; Artificial Intelligence; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey