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  • April 2024 (Revised December 2024)
  • Case

Anthropic: Building Safe AI

By: Shikhar Ghosh and Shweta Bagai
In late 2024, Anthropic, a leading AI safety and research company, achieved a significant breakthrough with computer use capabilities that allowed AI to interact with computers like humans. Co-founded by former OpenAI employees and known for its generative AI... View Details
Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States
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Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised December 2024.)
  • March 2022 (Revised July 2022)
  • Case

Nexleaf Analytics: Saving the World Using the Internet of Things

By: Frank Nagle
In 2019, a decade after co-founding Nexleaf Analytics, CEO Nithya Ramanathan faced an important decision that would impact the ability of the small, but growing, not-for-profit organization to thrive for another decade. Their sensor technologies and big data analytics... View Details
Keywords: Corporate Strategy; Collaborative Innovation and Invention; Technological Innovation; Nonprofit Organizations; Competitive Strategy; Patents; Expansion; Information Technology; Health Industry; Information Industry; Medical Devices and Supplies Industry; Technology Industry
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Nagle, Frank. "Nexleaf Analytics: Saving the World Using the Internet of Things." Harvard Business School Case 722-414, March 2022. (Revised July 2022.)

    Leila Doumi

    Leila Doumi is a PhD Candidate in the Strategy Unit and an affiliate of the Digital Data and Design (D^3) Institute at Harvard. She conducts research on technology adoption, corporate strategy, and the future of work with a focus... View Details

    • February 2019
    • Case

    Miroglio Fashion (A)

    By: Sunil Gupta and David Lane
    Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
    Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
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    Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
    • 2012
    • Book

    Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data

    By: Thomas H. Davenport
    This book, an edited collection of research papers from the International Institute of Analytics, addresses a wide variety of key topics in managing business analytics and big data at the enterprise level. It includes key applications of analytics, human and... View Details
    Keywords: Business Analytics; Big Data; Business or Company Management; Analytics and Data Science; Management Practices and Processes; Mathematical Methods; Information Management
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    Davenport, Thomas H., ed. Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data. FT Press, 2012.
    • 06 May 2021
    • News

    Cybersecurity: Don't Blame Employees—Make Them Feel like Part of the Solution

      Dorothy A. Leonard

      Dorothy Leonard*, the William J. Abernathy Professor of Business Administration Emerita, joined the Harvard faculty in 1983 after teaching for three years at the Sloan School of Management, Massachusetts Institute of Technology. She has taught MBA courses in... View Details

      Keywords: high technology; high technology; high technology; high technology; high technology; high technology; high technology; high technology; high technology
      • Article

      Soul and Machine (Learning)

      By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
      Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
      Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
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      Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
      • 08 Nov 2021
      • News

      Why Millions of Job Seekers Aren’t Getting Hired in this Hot Job Market

      • 2021
      • Article

      ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

      By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
      We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
      Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
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      Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
      • 16 Jul 2024
      • Research & Ideas

      Weighing Digital Tradeoffs in Private Equity

      about their interest in digital opportunities as they weigh whether to sell. As generative AI and other new technologies emerge, that question may become increasingly relevant to success, the researchers say. You Might Also Like: How... View Details
      Keywords: by Michael Blanding; Financial Services
      • 2024
      • Working Paper

      Contributing to Growth? The Role of Open Source Software for Global Startups

      By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
      How does participating in open source software (OSS) communities spur entrepreneurial growth? To address this question, we analyze novel data matching accounts from GitHub—the largest OSS hosting platform—to the universe of global software venture-backed firms... View Details
      Keywords: Applications and Software; Open Source Distribution; Entrepreneurship; Business Growth and Maturation; Human Capital; Valuation; Corporate Strategy
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      Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Contributing to Growth? The Role of Open Source Software for Global Startups." Harvard Business School Working Paper, No. 24-040, January 2024. (Revised August 2024.)
      • 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.
      • November 2024
      • Supplement

      AlphaGo (B): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the second in a three-part series, explores DeepMind's evolution from developing game-specific AI to more generalized learning systems. Following AlphaGo's 2017 victory over the Go world champion, DeepMind introduced two revolutionary systems that eliminated... View Details
      Keywords: AI and Machine Learning; Games, Gaming, and Gambling; Technological Innovation; Disruptive Innovation; Innovation Leadership; Information Technology Industry; United States; Russia; China
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (B): Birth of a New Intelligence." Harvard Business School Supplement 825-074, November 2024.
      • March 2002 (Revised March 2005)
      • Case

      Intevis: Brokering the Boundaryless Career

      Illustrates technology strategy, knowledge management, and the challenges of managing temporary professionals in the increasingly modular semiconductor industry. View Details
      Keywords: Technology; Knowledge Management; Employees; Semiconductor Industry
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      Fleming, Lee, and Evelina Fedorenko. "Intevis: Brokering the Boundaryless Career." Harvard Business School Case 602-148, March 2002. (Revised March 2005.)
      • June 2001 (Revised May 2002)
      • Case

      Spir-It, Inc. (B): Managing People

      When Jack Sindler founded Spir-it, Inc. in 1934, he was the company's sole employee. By 1999, Sindler's firm more than survived its first 55 years. Employment was up to nearly 200, with facilities in two states and work done in three shifts. The product line--which had... View Details
      Keywords: Growth Management; Production; Business Growth and Maturation; Interpersonal Communication; Logistics; Human Resources; Diversity Characteristics; Manufacturing Industry
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      Spear, Steven J. "Spir-It, Inc. (B): Managing People." Harvard Business School Case 601-091, June 2001. (Revised May 2002.)
      • 23 May 2014
      • News

      Facebook Succeeds Because Deep Down, We're All Stalkers

      • 02 Jan 2019
      • What Do You Think?

      SUMMING UP: Do We Need an Artificial Intelligence Czar?

      people.” He goes on to describe what we need in a LinkedIn article that he wrote. In his words, “we need policies to guide us on how AI is used. Policies that are shaped by well-informed debate, following the highest traditions of democracy." The final say is best... View Details
      Keywords: by James Heskett; Technology
      • 27 Sep 2011
      • First Look

      First Look: September 27

      about its growth strategy. Foremost, Huffington Post management must determine whether to rely to a greater extent upon social networking technologies (e.g., Facebook, Twitter) to select and present the content delivered to specific users... View Details
      Keywords: Sean Silverthorne

        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

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