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  • All HBS Web  (1,483)
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← Page 46 of 1,483 Results →
  • October 2024 (Revised April 2025)
  • Case

Nvidia

By: Andy Wu and Matt Higgins
This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
Keywords: Strategy; Technological Innovation; AI and Machine Learning; Product Development; Manufacturing Industry; Technology Industry; Electronics Industry; United States; China; Taiwan
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Wu, Andy, and Matt Higgins. "Nvidia." Harvard Business School Case 725-383, October 2024. (Revised April 2025.)
  • 2023
  • Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
  • March 2024 (Revised April 2024)
  • Supplement

From "BIG" Ideas to Sustainable Impact at ICL Group (B)

By: Linda A. Hill and Lydia Begag
In August 2023, Raviv Zoller, CEO of ICL Group, discussed his upcoming business trip to St. Louis with Eduard Croitoru, VP of ICL Corporate Initiatives, to commemorate the construction of ICL's new $400 million advanced manufacturing facility. In preparation for the... View Details
Keywords: Change Management; Agribusiness; Accounting; Communication; Renewable Energy; Chemicals; Machinery and Machining; Metals and Minerals; Mining; Social Entrepreneurship; Corporate Entrepreneurship; Values and Beliefs; Environmental Sustainability; Natural Resources; Globalization; Information Technology; Collaborative Innovation and Invention; Leadership; Organizational Culture; Personal Development and Career; Partners and Partnerships; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Israel; United States; China
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Hill, Linda A., and Lydia Begag. "From 'BIG' Ideas to Sustainable Impact at ICL Group (B)." Harvard Business School Supplement 424-043, March 2024. (Revised April 2024.)
  • July–August 2021
  • Article

Why You Aren't Getting More from Your Marketing AI

By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
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Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
  • March 2025
  • Case

Metaphysic AI: Rethinking the Value of Human Expertise

By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Motion Pictures and Video Industry; Motion Pictures and Video Industry
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Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
  • November 1991 (Revised December 1996)
  • Case

Pressco, Inc.--1985

By: William E. Fruhan Jr.
A capital budgeting problem is viewed from the context of a marketing representative attempting to make a sale of energy saving heavy industrial equipment. Tax law changes promise to have a significant impact on the customer's decision process. Teaching purpose: To... View Details
Keywords: Capital Budgeting; Machinery and Machining; Valuation; Taxation; Customer Value and Value Chain; Cost vs Benefits; Inflation and Deflation; Cost Management; Product Marketing; North and Central America
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Fruhan, William E., Jr. "Pressco, Inc.--1985." Harvard Business School Case 292-085, November 1991. (Revised December 1996.)
  • April 2023
  • Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information
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Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
  • March 2024
  • Exercise

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss
"Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a... View Details
Keywords: AI and Machine Learning; Problems and Challenges
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Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Exercise 824-188, March 2024.
  • January 2006 (Revised April 2007)
  • Case

General Electric Healthcare, 2006

By: Tarun Khanna and Elizabeth Raabe
In January 2006, Joe Hogan, head of General Electric (GE) Healthcare Technologies, prepared to step into William Castell's shoes as CEO of GE Healthcare, the world's leading manufacturer of diagnostic imaging equipment. In 2004, former CEO Jeff Immelt acquired Amersham... View Details
Keywords: Corporate Entrepreneurship; Cost vs Benefits; Growth and Development Strategy; Mergers and Acquisitions; Machinery and Machining; Global Range; Multinational Firms and Management; Product Design; Technological Innovation; Expansion; Value Creation; Business Subsidiaries; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry
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Khanna, Tarun, and Elizabeth Raabe. "General Electric Healthcare, 2006." Harvard Business School Case 706-478, January 2006. (Revised April 2007.)
  • 09 Dec 2010
  • News

Driving the Market for Big-Rig Engines

Keywords: Machinery Manufacturing; Machinery Manufacturing
  • November 1987 (Revised January 1988)
  • Case

Groen: A Dover Industries Company

By: Francis Aguilar
Describes the challenges facing the president of an old-line foodservice and food processing equipment manufacturing company as it attempted to accelerate sales and profit growth through the introduction of innovative products. The introduction of a "revolutionary"... View Details
Keywords: Business or Company Management; Corporate Entrepreneurship; Labor and Management Relations; Machinery and Machining; Management Style; Management Teams; Performance Efficiency; Technological Innovation; Product Development; Organizational Culture
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Aguilar, Francis. "Groen: A Dover Industries Company." Harvard Business School Case 388-055, November 1987. (Revised January 1988.)
  • January 2025
  • Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
  • 2025
  • Working Paper

Is Love Blind? AI-Powered Trading with Emotional Dividends

By: De-Rong Kong and Daniel Rabetti
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
  • 2025
  • Article

Humor as a Window into Generative AI Bias

By: Roger Samure, Julian De Freitas and Stefano Puntoni
A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
Keywords: AI and Machine Learning; Demographics; Prejudice and Bias
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Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
  • 2023
  • Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • 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... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
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Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
  • 2023
  • Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
  • August 25, 2022
  • Article

Find the Right Pace for Your AI Rollout

By: Rebecca Karp and Aticus Peterson
Implementing AI can introduce disruptive change and disfranchise staff and employees. When members are reluctant to adopt a new technology, they might hesitate to use it, push back against its deployment, or use it in limited capacity — which affects the benefits an... View Details
Keywords: AI and Machine Learning; Technology Adoption; Change Management
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Karp, Rebecca, and Aticus Peterson. "Find the Right Pace for Your AI Rollout." Harvard Business Review Digital Articles (August 25, 2022).
  • May 2022
  • Supplement

Borusan CAT: Monetizing Prediction in the Age of AI (B)

By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details
Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
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Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
  • December 18, 2024
  • Article

Is AI the Right Tool to Solve That Problem?

By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges
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Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
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