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  • All HBS Web  (1,194)
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    • Events  (17)
    • Multimedia  (8)
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← Page 18 of 1,194 Results →
  • 08 Mar 2017
  • HBS Seminar

Fernanda Viégas and Martin Wattenberg, Google

  • June 2022
  • Article

The Use and Misuse of Patent Data: Issues for Finance and Beyond

By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
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Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
  • November 2024
  • Supplement

AlphaGo (C): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
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Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (C): Birth of a New Intelligence." Harvard Business School Supplement 825-075, November 2024.
  • December 2018 (Revised March 2021)
  • Background Note

Modern Automation (A): Artificial Intelligence

By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
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Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
  • 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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Cespedes, Frank V. "AI, ROI, and Sales Productivity." Top Sales Magazine (July 2024), 12–13.
  • April 2020
  • Article

CEO Behavior and Firm Performance

By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details
Keywords: CEOs; Management; Behavior; Organizations; Performance; Analysis
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Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
  • 2022
  • Working Paper

The Evolution of ESG Reports and the Role of Voluntary Standards

By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The percentage of firms releasing these voluntary disclosures increased from 35% to 86% during this period, although the length of these documents experienced more modest growth. Using a... View Details
Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting
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Rouen, Ethan, Kunal Sachdeva, and Aaron Yoon. "The Evolution of ESG Reports and the Role of Voluntary Standards." Harvard Business School Working Paper, No. 23-024, October 2022.
  • 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.
  • 2023
  • Working Paper

Sending Signals: Strategic Displays of Warmth and Competence

By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how people signal important information about themselves to others. We first train machine learning models to assess the use of warmth and competence impression management... View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
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Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
  • 10 Sep 2020
  • Blog Post

Founding a Company at the Intersection of Medicine and Technology

surgical robotics to treat lung cancer, the intersection of medicine and technology was a deep interest of his prior to HBS. He is now the Founder and CEO of Alife Health, which uses View Details
  • 22 Mar 2023
  • Blog Post

Decarbonization and Sustainable Production: Immersive Field Course in Denmark and the Netherlands

opportunity to get out of the classroom and put the skills they’ve learned into practice. When I first stumbled upon this course, I watched the video made by one of the professors View Details
  • 23 Oct 2018
  • First Look

New Research and Ideas, October 23, 2018

Data and Machine Learning By: Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck Abstract—Problem definition: In collaboration with Heathrow... View Details
Keywords: Dina Gerdeman

    Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

    In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details

    • April–June 2022
    • Other Article

    Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'

    By: Edward McFowland III
    There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
    Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
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    McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
    • January 2022
    • Article

    Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

    By: David R. Clough and Andy Wu
    Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
    Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
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    Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
    • 2022
    • Conference Presentation

    Towards the Unification and Robustness of Post hoc Explanation Methods

    By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
    As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
    Keywords: AI and Machine Learning
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    Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
    • February 2022 (Revised November 2022)
    • Case

    Nuritas

    By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
    Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company... View Details
    Keywords: Cash Burn; Cash Flow Analysis; Pharmaceutical Companies; Founder; Artificial Intelligence; AI; Entrepreneurship; Health Testing and Trials; Health Care and Treatment; Decision Making; Market Entry and Exit; AI and Machine Learning; Pharmaceutical Industry
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    Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
    • May 2022 (Revised July 2022)
    • Case

    The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022

    By: David B. Yoffie and Daniel Fisher
    In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details
    Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States
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    Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022. (Revised July 2022.)
    • 17 Apr 2025
    • HBS Seminar

    Maria De-Arteaga, McCombs School of Business, UT Austin

      Edward McFowland III

      Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.

      Professor McFowland’s research interests – which lie at the... View Details

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