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Show Results For
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All HBS Web
(700)
- News (175)
- Research (303)
- Events (5)
- Multimedia (5)
- Faculty Publications (232)
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- August 2019 (Revised March 2022)
- Case
Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart
By: Elie Ofek and Danielle Golan
Launching its first products in the fall of 2016 in New York, insurtech startup Lemonade was on a mission to disrupt the insurance market by using AI and behavioral economics principles. The company offered renters, homeowners, and condo insurance and mainly targeted...
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Keywords:
AI;
Business Startups;
Insurance;
Technological Innovation;
Business Model;
Disruption;
Brands and Branding;
Growth and Development Strategy;
Global Strategy;
Decision Making;
Insurance Industry;
Technology Industry
Ofek, Elie, and Danielle Golan. "Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart." Harvard Business School Case 520-020, August 2019. (Revised March 2022.)
- 30 May 2024
- Research & Ideas
Racial Bias Might Be Infecting Patient Portals. Can AI Help?
with thoughtful design, AI language models could help reduce biases in portals specifically and in health care generally. Such technology could reduce inequities by eliminating language nuances that may...
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- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software...
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- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt...
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Keywords:
Artificial Intelligence;
Market Research;
Business Model;
Finance;
Revenue;
Decision Making;
Risk and Uncertainty;
Market Entry and Exit;
Applications and Software;
AI and Machine Learning;
Information Technology Industry;
Auto Industry;
United States
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
- 25 May 2021
- Research & Ideas
White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?
increase their occupancy rates significantly, bringing their earnings more in line with the higher rental incomes of white hosts, according to a study coauthored by Shunyuan Zhang, an assistant professor in the Marketing Unit at Harvard...
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- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
for neural networks increase, as does accessibility to off-the-shelf APIs from big tech and academic institutions that help speed up innovation. Entrepreneurs have also learned the wisdom of targeting AI applications toward specific,...
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Keywords:
by Rocio Wu
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business...
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Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
- 24 Oct 2023
- Cold Call Podcast
How the United States Air Force Accelerated AI Adoption
Keywords:
Re: Maria P. Roche
- September 2023 (Revised April 2024)
- Case
Atomwise: Strategic Opportunities in AI for Pharma
By: Satish Tadikonda
Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural...
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Keywords:
Business Model;
Business Startups;
AI and Machine Learning;
Science-Based Business;
Technological Innovation;
Biotechnology Industry;
Pharmaceutical Industry
Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
customers on the brand? Amano points out that the benefits of personalized marketing are often overshadowed by the creepiness factor. “There definitely are a bunch of benefits that we reap from the fact that firms and governments have...
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Keywords:
by Kristen Senz
- 16 Feb 2024
- Research & Ideas
As AI Upends Recruiting, Job Seekers Need a Waze App for Careers
postings and social media and impressions from informal conversations. “Companies invest tens of millions of dollars on user experience for customers, but don't bring any of that discipline to applicant experience.” That puts employers in a quandary. They grapple with...
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- January 2024 (Revised February 2024)
- Case
OpenAI: Idealism Meets Capitalism
By: Shikhar Ghosh and Shweta Bagai
In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a...
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Keywords:
AI;
AI and Machine Learning;
Governing and Advisory Boards;
Ethics;
Strategy;
Technological Innovation;
Leadership
Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
- March 2024 (Revised August 2024)
- Case
Darktrace: Scaling Cybersecurity and AI (A)
By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts....
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Keywords:
Technology;
Talent;
Scaling;
Entrepreneurship;
Cybersecurity;
Leadership;
Business Growth and Maturation;
Recruitment;
Resignation and Termination;
AI and Machine Learning;
Growth and Development Strategy;
Organizational Culture;
Going Public;
Technology Industry;
United Kingdom;
Europe;
United States
Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
- 20 Nov 2019
- Research & Ideas
It's No Joke: AI Beats Humans at Making You Laugh
my god,” replied the lawyer, finally noticing the bloody left shoulder where his arm once was. “Where's my Rolex?!” Do you think your friends would find that joke amusing—well, maybe those who aren’t lawyers? A research team led by...
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Keywords:
by Dina Gerdeman
- 26 Jun 2017
- Research & Ideas
How Cellophane Changed the Way We Shop for Food
marketed the idea of better-selling-through-cellophane, releasing several self-funded studies on the efficacy of visual marketing. “DuPont’s research concluded that 85 percent of all food purchase was done by the eye,” View Details
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data from a machine learning model—they may be required to do so...
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- December 2023 (Revised August 2024)
- Case
Monsters in the Machine? Tackling the Challenge of Responsible AI
By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across...
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- 03 May 2023
- Research & Ideas
Why Confronting Racism in AI 'Creates a Better Future for All of Us'
people in the room to guess what prompts he had provided to the AI tool DALL-E2 to create the image. People in the audience were stumped. After about 40 seconds, Turner—a visiting fellow at HBS’s Institute for the Study of Business in...
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Keywords:
by Barbara DeLollis
- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated...
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Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine...
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Keywords:
Large Language Model;
AI and Machine Learning;
Performance Efficiency;
Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.