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Show Results For
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All HBS Web
(864)
- People (1)
- News (152)
- Research (549)
- Events (10)
- Multimedia (3)
- Faculty Publications (453)
- Profile
John Bracaglia
learning will impact a lot of industries," John says. "I want to show my colleagues the kind of impact AI can really have and how it applies to MBA students." In 2019, John took a lead role in organizing and running the...
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- Student-Profile
Ta-Wei "David" Huang
management and using causal inference / machine learning tools to solve marketing problems.” It was this motivation that led him to pursue a Ph.D. Initially, David’s familiarity with HBS was limited to the...
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- 16 Nov 2020
- Blog Post
Flatiron School: Reflections from Summer 2020
Birchbox, Young Invincibles, Color Camp, Women 2.0 and Casper. WHAT WERE YOUR GOALS FOR THE SUMMER? Rocio Wu (MBA 2020): Learning python and machine learning had always been on...
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Keywords:
All Industries
- March 2023
- Teaching Note
VideaHealth: Building the AI Factory
By: Karim R. Lakhani
Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian...
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- Web
Data Tips & Toolkits - Research Computing Services
popular platform provides automatic text captioning of the audio uploaded onto YouTube. Watson speech-to-text API : a machine learning API that can transcribe audio files into text, among other capabilities....
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- September–October 2024
- Article
How AI Can Power Brand Management
By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it...
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Keywords:
Creativity;
AI and Machine Learning;
Brands and Branding;
Product Positioning;
Customer Focus and Relationships
De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
- February 2024
- Case
SundaySky: Changing Customer Experiences through Personalized Video
By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative...
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Keywords:
Advertising;
Strategy;
Technology Adoption;
AI and Machine Learning;
Applications and Software;
Growth and Development Strategy;
Advertising Industry;
Technology Industry;
United States
Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
- October 2023
- Case
Fixie and Conversational AI Sidekicks
By: Jeffrey J. Bussgang and Carin-Isabel Knoop
In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT...
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Keywords:
Large Language Model;
Entrepreneurship;
Decision Choices and Conditions;
AI and Machine Learning;
Technological Innovation;
Competitive Strategy;
Technology Industry;
United States
Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by...
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Keywords:
AI and Machine Learning;
Analytics and Data Science;
Forecasting and Prediction;
Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
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Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- June 2017
- Teaching Note
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty...
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- 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?
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Keywords:
AI and Machine Learning;
Volatility;
Financial Markets;
Investment Funds;
Decision Choices and Conditions;
Financial Services Industry
Zhu, Feng, and Kerry Herman. "Super Quantum: Using Artificial Intelligence to Transform Asset Management (A)." Harvard Business School Case 624-027, September 2023.
- 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...
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Keywords:
Customer Relationship Management;
AI and Machine Learning;
Risk Management;
Opportunities;
Customization and Personalization;
Banking Industry;
Europe
Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.
- April 2024 (Revised May 2024)
- Case
Anthropic: Building Safe AI
By: Shikhar Ghosh and Shweta Bagai
In March 2024, Anthropic, a leading AI safety and research company, made headlines with the launch of Claude 3, its most advanced AI model. This marked Anthropic’s bold entry into the multimodal GenAI domain, showcasing capabilities extending to both image and text...
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Keywords:
AI and Machine Learning;
Corporate Accountability;
Corporate Social Responsibility and Impact;
Business Growth and Maturation;
Corporate Strategy;
Technology Industry;
United States
Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised May 2024.)
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language...
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Keywords:
Large Language Model;
User Experience;
AI and Machine Learning;
Consumer Behavior;
Technology Adoption;
Risk and Uncertainty;
Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- February 2022 (Revised November 2022)
- Case
Nuritas
By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company...
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Keywords:
Cash Burn;
Cash Flow Analysis;
Pharmaceutical Companies;
Founder;
Artificial Intelligence;
AI;
Entrepreneurship;
Health Testing and Trials;
Health Care and Treatment;
Decision Making;
Market Entry and Exit;
AI and Machine Learning;
Pharmaceutical Industry
Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
- May 2024
- Article
The Health Risks of Generative AI-Based Wellness Apps
By: Julian De Freitas and G. Cohen
Artifcial intelligence (AI)-enabled chatbots are increasingly being used to
help people manage their mental health. Chatbots for mental health and
particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’.
Indeed, most generative AI-powered...
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Keywords:
AI and Machine Learning;
Well-being;
Governing Rules, Regulations, and Reforms;
Applications and Software
De Freitas, Julian, and G. Cohen. "The Health Risks of Generative AI-Based Wellness Apps." Nature Medicine 30, no. 5 (May 2024): 1269–1275.
- February 2024
- Teaching Note
TimeCredit
By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting...
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- 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...
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Keywords:
Clusters;
Invention;
Agglomeration;
Artificial Intelligence;
Innovation and Invention;
Patents;
Applications and Software;
Industry Clusters;
AI and Machine Learning
Chattergoon, Brad, and William R. Kerr. "Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention." Art. 104418. Research Policy 51, no. 2 (March 2022).
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a...
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Keywords:
Artificial Intelligence;
Algorithmic Bias;
Technological Innovation;
Perception;
Diversity;
Equality and Inequality;
Trust;
AI and Machine Learning
Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).