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  • November 2004
  • Case

Deere & Company

By: Ray A. Goldberg and Hal Hogan
John Deere & Co. wants to improve shareholder value and provide incentives to do so. The task is difficult in a volatile agriculture and construction industry. It also wants to be more global and provide machinery that traces commodities from the field to the consumer. View Details
Keywords: Factories, Labs, and Plants; Volatility; Machinery and Machining; Multinational Firms and Management; Goods and Commodities; Goals and Objectives; Strategic Planning; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry
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  • July 2024
  • Article

AI, ROI, and Sales Productivity

By: Frank V. Cespedes
Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by... View Details
Keywords: ROI; AI and Machine Learning; Sales; Investment Return
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  • March 2024 (Revised August 2024)
  • Case

Darktrace: Scaling Cybersecurity and AI (A)

By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
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  • Web

Compute Cluster and Data Storage - Research Computing Services

personnel can use AWS to conduct their research. AWS provides a number of services for its customers, including 'bare metal'; unconfigured virtual machines; machine images with preset RAM, CPU, and operating... View Details
  • March 2017
  • Supplement

Donna Dubinsky, Numenta and Artificial Intelligence

By: David B. Yoffie
Donna Dubinsky, CEO of Numenta, discusses her views of the future of artificial intelligence and the strategic challenges of building a new platform. View Details
Keywords: Artificial Intelligence; Strategy; Technological Change; AI and Machine Learning; Technology Industry
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  • 2023
  • Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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  • March 2019
  • Teaching Note

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie
This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing. View Details
Keywords: Artificial Intelligence; Strategy; Information Technology; Technological Innovation; Commercialization; AI and Machine Learning
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  • 2023
  • Book

Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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  • May 1987
  • Supplement

Copeland Corp.: The Focused Factory, Video

By: David A. Garvin
Introduces students to the products, shows the company's focused factories, introduces the principal managers, and describes the process the company went through in executing a major change in manufacturing strategy and philosophy. Can be used independently to... View Details
Keywords: Factories, Labs, and Plants; Change; Machinery and Machining; Product; Production; Strategy
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  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 12 Jan 2020
  • News

Trade War With China Took Toll on U.S., but Not Big One

  • March 1998 (Revised November 2004)
  • Case

FAG Kugelfischer-A German Restructuring

By: Stuart C. Gilson
A large German manufacturer of ball bearings and precision machinery experiences severe financial difficulty brought on by poor management practices, an ill-conceived acquisition of a former East German ball-bearings company, and an industry recession. The company... View Details
Keywords: Accounting; Acquisition; Restructuring; Economic Slowdown and Stagnation; Machinery and Machining; Policy; Resignation and Termination; Management Practices and Processes; Performance Evaluation; Business and Shareholder Relations; Business and Stakeholder Relations; Europe; Germany; United States
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    Paul Hamilton

    Paul studies the economic complements needed for firms to realize productivity gains from machine learning and artificial intelligence. These complements include data, human capital & skills, organizational processes, and business models. 
    View Details
    • January 2024
    • Case

    The Financial Times (FT) and Generative AI

    By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
    In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details
    Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry
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    • 21 Jun 2010
    • Research & Ideas

    Strategy and Execution for Emerging Markets

    reasonable prices are in demand. One example: In health care, GE is producing a computerized tomography (CT) scan machine that is functional without a lot of bells and whistles. It was designed originally... View Details
    Keywords: by Martha Lagace
    • February 2021 (Revised June 2021)
    • Case

    Bairong and the Promise of Big Data

    By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist
    Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details
    Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China
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    • March 2018
    • Article

    In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions

    By: Eva Ascarza, Scott A. Neslin, Oded Netzer, Zachery Anderson, Peter S. Fader, Sunil Gupta, Bruce Hardie, Aurelie Lemmens, Barak Libai, David T. Neal, Foster Provost and Rom Schrift
    In today’s turbulent business environment, customer retention presents a significant challenge for many service companies. Academics have generated a large body of research that addresses part of that challenge—with a particular focus on predicting customer churn.... View Details
    Keywords: Customer Retention; Churn; Customer Relationship Management; Measurement and Metrics
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      Magie Cheng

      Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and... View Details
      • 17 May 2007
      • Working Paper Summaries

      The Price of Capital: Evidence from Trade Data

      Keywords: by Laura Alfaro & Faisal Z. Ahmed
      • 2024
      • Working Paper

      Climate Solutions, Transition Risk, and Stock Returns

      By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
      Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
      Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
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