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  • 20 Nov 2024
  • HBS Seminar

Marc Rotenberg, Georgetown University Law

  • 08 Mar 2017
  • HBS Seminar

Fernanda Viégas and Martin Wattenberg, Google

  • 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
  • February 2018
  • Case

Vodafone: Managing Advanced Technologies and Artificial Intelligence

By: William R. Kerr and Emer Moloney
Vodafone was operating in the fast-moving telecommunications market where innovation and scale were key. Faced with an onslaught of technological advances—big data, automation, and artificial intelligence—CEO Vittorio Colao reflected on how he should change the... View Details
Keywords: Technological Innovation; Management; Organizational Change and Adaptation; Corporate Social Responsibility and Impact; Opportunities; Telecommunications Industry
Related

    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. 
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    • 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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    • 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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    • 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
    Related
    • 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
    Related
    • 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
    Related
    • 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

      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

      • 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
      Related
      • Web

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

      Blog Blog MBA Voices Filter Results Arrow Down Arrow Up Read posts from Author Alumni Author Career and Professional Development Staff Author HBS Community Author HBS Faculty Author MBA Admissions Author MBA Students Topics Topics 1st Year (RC) 2+2 Program 2nd Year... 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
      • 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
      Related
      • 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
      Related
      • 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
      Related

        Policy versus Practice: Conceptions of Artificial Intelligence

        The recent growth of concern around issues such as social biases implicit in algorithms, economic impacts of artificial intelligence (AI), or potential existential threats posed... View Details

        • 2022
        • Working Paper

        The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives

        By: Ariel Dora Stern
        For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
        Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
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