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Publications

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  • All HBS Web  (120)
    • News  (51)
    • Research  (46)
    • Events  (2)
  • Faculty Publications  (30)

Show Results For

  • All HBS Web  (120)
    • News  (51)
    • Research  (46)
    • Events  (2)
  • Faculty Publications  (30)
← Page 2 of 120 Results →
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • 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.
  • 2020
  • Working Paper

Design in the Age of Artificial Intelligence

By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
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Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
  • 09 Jan 2024
  • In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

contexts demonstrated that generative AI has the potential to enhance productivity (speed and efficiency of task completion), quality (precision in execution), and creativity (albeit with limitations).... View Details
Keywords: by Rachel Layne; Information Technology
  • Research Summary

Overview

By: Jeremy Yang
Professor Yang's recent work focuses on understanding and solving important managerial problems in the creator economy. His projects are organized around the 4Cs: creator, content, community, and commerce. On creator, he studies creator inequality and bias. On content,... View Details
  • 02 May 2023
  • What Do You Think?

How Should Artificial Intelligence Be Regulated—if at All?

assist, and score against an opponent with the help of AI and relentless 24-hour practice. Or when machines compose better memos, white papers, and poems than you could have written—by means of generative AI... View Details
Keywords: by James Heskett; Information Technology; Technology
  • 12 PM – 1 PM EDT, 22 Sep 2023
  • Webinars: Career

Tech in the Job Search: ChatGPT for Job-Seekers

Join CPD and a former LinkedIn insider for an enlightening webinar and learn to harness the potential of AI tools like ChatGPT to revolutionize your job search experience. View Details
  • June 2025
  • Article

Ideation with Generative AI—In Consumer Research and Beyond

By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
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De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
  • April 2025 (Revised May 2025)
  • Case

Adobe: GenAI Opportunity or Threat?

By: Sunil Gupta, Rajiv Lal and Allison Ciechanover
In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative AI image models from OpenAI, Midjourney, and StabilityAI. Adobe, a leader in digital media and marketing software with a 40-year legacy of innovation and... View Details
Keywords: Customer Relationship Management; Ethics; AI and Machine Learning; Trust; Business Strategy; Technology Industry; San Jose
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Gupta, Sunil, Rajiv Lal, and Allison Ciechanover. "Adobe: GenAI Opportunity or Threat?" Harvard Business School Case 525-052, April 2025. (Revised May 2025.)

    Jacob M. Cook

    Jacob Cook is a Lecturer in the Marketing Unit at Harvard Business School, where he teaches the EC course Digital Marketing & AI Workshop. His work focuses on how companies design and scale customer acquisition and retention strategies using digital marketing,... View Details

    • September 2024
    • Background Note

    Copyright and Fair Use

    By: David B. Yoffie
    The U.S. Copyright Office defines a copyright as “a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression.” Two core principles of copyright are originality and fixation. A work is... View Details
    Keywords: AI and Machine Learning; Copyright; Lawsuits and Litigation; United States
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    Yoffie, David B. "Copyright and Fair Use." Harvard Business School Background Note 725-394, September 2024.
    • November 2023 (Revised April 2024)
    • Case

    Khanmigo: Revolutionizing Learning with GenAI

    By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
    Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
    Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
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    Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)

      Innovation and Design in the Age of Artificial Intelligence

      At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation processes have so far been... View Details

      • 10 Sep 2024
      • Research & Ideas

      What Happens When Business Owners Turn to ChatBots for Advice

      entrepreneurs,” Koning says. “It’s especially hard if you run a car wash outside Nairobi. And now, here’s a technology that allows us to put a phenomenal business adviser in the pockets of billions of people.” You Might Also Like: Can AI... View Details
      Keywords: by Ben Rand
      • 19 Nov 2024
      • HBS Seminar

      Christian Terwiesch, Wharton

        Linda A. Hill

        Linda A. Hill is the Wallace Brett Donham Professor of Business Administration at the Harvard Business School and Faculty Chair of the Leadership Initiative. Hill is regarded as one of the top experts on leadership and innovation. Hill is... View Details

        • Web

        Live from Klarman Hall - Alumni

        Business School Panelists Noah Feldman Felix Frankfurter Professor of Law Harvard Business School Anita Lynch (MBA 2008) Board Member Nasdaq US Exchanges Jonathan Zittrain George Bemis Professor of International Law Harvard Law School View Details
        • 21 Aug 2023
        • Book

        You’re More Than Your Job: 3 Tips for a Healthier Work-Life Balance

        People will pigeonhole you. “The longer you equate your identity with your occupation, the more that’s how the market will see you as well,” she says. This is important for managers, too, who might get into hiring ruts and have a myopic focus on job qualifications.... View Details
        Keywords: by Kara Baskin

          Michael A. Wheeler

          Mike Wheeler joined the HBS faculty in 1993 and has taught extensively in its MBA, Executive, and distance learning programs. His highly interactive 8-week/40-hour HBS Online Negotiation... View Details

          Keywords: arts; construction; e-commerce industry; energy; federal government; green technology; internet; legal services; nonprofit industry; petroleum; pharmaceuticals; publishing industry; real estate; service industry; sports; state government; utilities
          • 17 Jul 2023
          • Research & Ideas

          Money Isn’t Everything: The Dos and Don’ts of Motivating Employees

          correctly, says Hall. They’re often much less expensive for the company, too, he adds. “Most people just think, ‘What do employees want? They want money,’” Hall says. “I’m not sure why they don’t get more creative with non-monetary... View Details
          Keywords: by Avery Forman
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