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  • All HBS Web  (1,234)
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    • News  (248)
    • Research  (715)
    • Events  (17)
    • Multimedia  (9)
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← Page 28 of 1,234 Results →
  • November 2024
  • Case

AlphaGo (A): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai
This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
Keywords: AI and Machine Learning; Technology Adoption; Games, Gaming, and Gambling; Technological Innovation; Creativity; Technology Industry; South Korea; China; United States
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Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (A): Birth of a New Intelligence." Harvard Business School Case 825-073, November 2024.
  • 23 May 2017
  • First Look

First Look at New Ideas and Research: May 23, 2017

https://www.hbs.edu/faculty/Pages/item.aspx?num=52652 Learning to Manage: A Field Experiment in the Indian Startup Ecosystem By: Chatterji, Aaron, Solene Delecourt, Sharique Hasan, and Rembrand Koning... View Details
Keywords: Carmen Nobel
  • July 2023
  • Case

DayTwo: Going to Market with Gut Microbiome (Abridged)

By: Ayelet Israeli
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
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Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
  • January–February 2023
  • Article

Data-Driven COVID-19 Vaccine Development for Janssen

By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
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Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
  • 28 Mar 2023
  • Blog Post

Meet Professor Elisabeth Paulson: A Conversation on Life, Research, and Teaching

scary, but it was also incredibly fun—something that I attributed largely to the case method (and Section I!). It’s exciting to see where the class discussion will go, and witness section mates learning from... View Details
  • October 2024 (Revised June 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 June 2025.)
  • 01 Dec 2021
  • News

Do You Know How Your Teams Get Work Done?

  • July 2025
  • Article

Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
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Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review 100, no. 4 (July 2025): 135–159.
  • Forthcoming
  • Article

Comparing the Value of Perceived Human Versus AI-Generated Empathy

By: Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg and Anat Perry
Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing... View Details
Keywords: AI and Machine Learning; Emotions; Perception; Interpersonal Communication
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Rubin, Matan, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, and Anat Perry. "Comparing the Value of Perceived Human Versus AI-Generated Empathy." Nature Human Behaviour (forthcoming). (Pre-published online June 30, 2025.)
  • 01 May 2018
  • First Look

First Look at New Research and Ideas, May 1, 2018

Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP) No abstract available.... View Details
Keywords: Sean Silverthorne

    Youngme Moon

    Youngme Moon is the Donald K. David Professor of Business at Harvard Business School. Professor Moon's research sits at the intersection of brand strategy and culture, with a particular focus on the emergent AI economy. She is the author of the bestselling book, View Details

    Keywords: advertising; automobiles; automotive; clothing; communications; computer; consumer products; e-commerce industry; electronics; entertainment; fashion; high technology; home video games; information; information technology industry; internet; marketing industry; music; pharmaceuticals; toy; video games
    • April 2023
    • Case

    Fizzy Fusion: When Data-Driven Decision Making Failed

    By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
    This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
    Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
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    Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
    • Web

    Getting Things Done: Motivating Yourself and Others - Course Catalog

    (ii) designing incentive systems, broadly defined, that motivate both individual performance and organizational behavior. Students will learn to apply these concepts to enhance their own productivity while... View Details
    • April 2021
    • Case

    Distinct Software

    By: Das Narayandas, Arijit Sengupta and Jonathan Wray
    Distinct Software (disguised name), a global enterprise software company, is at an important point in its growth trajectory where the luster of its mantra of “grow and win at any cost” has dimmed with increasing competition and margin pressures. To help navigate its... View Details
    Keywords: Artificial Intelligence; Marketing; Sales; Performance Productivity; Technological Innovation; AI and Machine Learning
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    Narayandas, Das, Arijit Sengupta, and Jonathan Wray. "Distinct Software." Harvard Business School Case 521-101, April 2021.
    • 2023
    • Article

    M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models

    By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
    While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
    Keywords: AI and Machine Learning
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    Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
    • February 2021
    • Tutorial

    What is AI?

    By: Tsedal Neeley
    This video explores the elements that constitute artificial intelligence (AI). From its mathematical basis to current advances in AI, this video introduces students to data, tools, and statistical models that make a computer 'intelligent.' Through an explanation of... View Details
    Keywords: Artificial Intelligence; Digital; Technological Innovation; Leadership; AI and Machine Learning; Mathematical Methods
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    Neeley, Tsedal. What is AI? Harvard Business School Tutorial 421-713, February 2021. (https://hbsp.harvard.edu/product/421713-HTM-ENG?Ntt=tsedal%20neeley%20what%20is%20ai.)
    • 04 Apr 2022
    • Research & Ideas

    Tech Hubs: How Software Brought Talent and Prosperity to New Cities

    software patents. These classified patents were then used to train a machine learning algorithm to identify among millions of patents those that were software related. Once software View Details
    Keywords: by Rachel Layne
    • March 2024 (Revised April 2025)
    • Case

    TELEXISTENCE Inc.

    By: Paul A. Gompers and Akiko Saito
    A case about a Japanese robotics startup aiming to enter the U.S. market with its robots that combine AI and human intervention to complete restocking tasks in retail stores. View Details
    Keywords: Business Startups; Entrepreneurship; Market Entry and Exit; Technology Adoption; Decisions; AI and Machine Learning; Retail Industry; Technology Industry; Japan; United States
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    Gompers, Paul A., and Akiko Saito. "TELEXISTENCE Inc." Harvard Business School Case 224-031, March 2024. (Revised April 2025.)
    • 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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    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).
    • Research Summary

    Ethics & Politics of Emerging Technologies

    In this stream of research, my collaborators and I investigate the ethical, political, and social implications of computational technologies. 

    In this work, I often collaborate with academic colleagues in computer science by helping to... View Details
    Keywords: Artificial Intelligence; Algorithms; Computational Social Science
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