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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
    • August 2018 (Revised October 2020)
    • Case

    Tailor Brands: Artificial Intelligence-Driven Branding

    By: Jill Avery
    Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
    Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
    Related
    • July 2023 (Revised May 2024)
    • Case

    Vytal: Packaging-as-a-Service

    By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer
    The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food... View Details
    Keywords: Climate Risk; Digital; Platform Strategies; Data; Packaging; Sustainability; Start-up; Startup; Entrepreneur; Impact; Circular; Growth Strategy; Innovation; Environmental Sustainability; Innovation and Invention; Business Growth and Maturation; Growth and Development Strategy; Business Startups; Resource Allocation; Risk Management; Adoption; Strategy; Performance Productivity; Service Delivery; Service Operations; Supply Chain; Distribution; Entrepreneurship; Climate Change; Green Technology Industry; Service Industry; Retail Industry; Germany; Europe
    Related
    • November 28, 2017
    • Editorial

    Active Investing v.2.0

    By: Gabriel Karageorgiou and George Serafeim
    Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
    Related
    • March 2020
    • Supplement

    People Analytics at Teach For America (B)

    By: Jeffrey T. Polzer and Julia Kelley
    This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
    Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
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      Jeremy Yang

      Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
      Keywords: advertising; media; entertainment; information; consumer products
      • Research Summary

      Overview

      Paul is primarily interested in studying explainable machine learning (ML), digital transformation, and data science operations. He works on research that explores how stakeholders within organizations can use machine learning to make better decisions. In particular,... View Details

        Chiara Farronato

        Chiara Farronato is Glenn and Mary Jane Creamer Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, and co-Principal Investigator of the Platform Lab at the Digital... View Details

        • 03 Jun 2021
        • News

        Insurance to Mitigate the Risk of AI Systems Coming into View

          Jeff Fossett

          Jeff Fossett is a doctoral student in the Technology and Operations Management Unit at Harvard Business School. He is interested in economic and policy questions related to technology platforms and online marketplaces. Previously, Jeff was a member of the Data Science... View Details
          Keywords: information technology industry
          • Teaching Interest

          Overview

          I am passionate about teaching across a number of topics, most recently Data Science and Probability. Details on my graduate teaching experience can be found on my personal webpage. View Details
          • August 2018 (Revised October 2019)
          • Case

          C3.ai—Driven to Succeed

          By: Robert Simons and George Gonzalez
          CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
          Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
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            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

            • 16 Nov 2020
            • Blog Post

            Flatiron School: Reflections from Summer 2020

            In the summer of 2020, HBS Career & Professional Development (CPD) partnered with Flatiron School to provide students with an opportunity to gain practical skills, statistics fundamentals, and real-life data View Details
            Keywords: All Industries

              Himabindu Lakkaraju

              Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details

              • 2023
              • Working Paper

              Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

              By: Daniel Yue, Paul Hamilton and Iavor Bojinov
              Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
              Keywords: Analytics and Data Science
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                Dennis Campbell

                Dennis W. Campbell is currently the Dwight P. Robinson Jr. Professor of Business Administration at Harvard Business School. His research and teaching activities focus broadly on how management control systems can be designed to balance short-term strategy execution... View Details

                Keywords: financial services; service industry; hotels ＆ motels; consumer products; restaurant; manufacturing; professional services
                • 27 Jul 2020
                • Working Paper Summaries

                Gender Inequality in Research Productivity During the COVID-19 Pandemic

                Keywords: by Ruomeng Cui, Hao Ding, and Feng Zhu
                • 24 Oct 2017
                • News

                Change Management Is Becoming Increasingly Data-Driven. Companies Aren’t Ready

                • TeachingInterests

                Leading with People Analytics; HBS MBA Elective; 2021

                • Teaching fellow for course on using data science to make decisions about people, such as hiring, firing, promotion, team composition, etc. 
                • Led weekly student review sessions teaching statistics and the R... View Details