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  • September 2023 (Revised April 2024)
  • Case

Atomwise: Strategic Opportunities in AI for Pharma

By: Satish Tadikonda
Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
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  • Winter 2016
  • Article

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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  • 08 Mar 2011
  • First Look

First Look: March 8

relocate to Japan and compete with other world-class international business schools. Purchase this case:http://cb.hbsp.harvard.edu/cb/product/811061-PDF-ENG The Wright Brothers and Their Flying Machines Tom Nicholas and David ChenHarvard... View Details
Keywords: Sean Silverthorne
  • Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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  • 2019
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
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  • Web

HBS Working Knowledge – Harvard Business School Faculty Research

could other businesses learn from his ascent? What Will It Take to Confront the Invisible Mental Health Crisis in Business? by Kara Baskin 09 NOV 2023 | HBS Case The pressure to do more, to be more, is fueling its own silent epidemic.... View Details
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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  • 06 Jun 2017
  • First Look

First Look at New Research and Ideas: June 6, 2017

recent years, a number of new and exciting tools enabled by advances in telework, machine learning, and other approaches had emerged. Hirshfeld hoped to maximize these tools’ utility in order to enhance patent examiners’ work and... View Details
Keywords: Sean Silverthorne

    Graphic Packaging: Project Cowboy

    In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details
    • 09 Mar 2016
    • Lessons from the Classroom

    In This Classroom, Beer Can Improve Your Grade

    simulations, but Strategic Brew stands alone in scope. All 940 first-year students play the game simultaneously as part of the required Strategy course. Roughly 40 faculty and project members manage and supervise the events. “It’s a... View Details
    Keywords: by Roberta Holland; Education; Food & Beverage
    • 2023
    • Working Paper

    Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

    By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
    The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
    Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

      We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details
      • March 2021
      • Case

      VideaHealth: Building the AI Factory

      By: Karim R. Lakhani and Amy Klopfenstein
      Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details
      Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge
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      • Teaching Interest

      Data Science for Managers

      • Served as a teaching fellow; assisted MBA students with classroom coding exercises. 
      • Developed course materials, including new case studies, technical notes, and code notebooks students used to analzye case data. 
      • Developed interactive web... View Details

        Seth Neel

        Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details
        • 2023
        • Working Paper

        In-Context Unlearning: Language Models as Few Shot Unlearners

        By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
        Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
        Keywords: AI and Machine Learning; Copyright; Information
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        • Web

        Marketing - Doctoral

        Ayelet Israeli Henry W. McGee Isamar Troncoso Marketing Tomomichi Amano Eva Ascarza David E. Bell Anita Elberse Sunil Gupta Ayelet Israeli Rajiv Lal V. Kasturi Rangan Isamar Troncoso Jeremy Yang Shunyuan Zhang Machine View Details
        • 21 Oct 2024
        • Research & Ideas

        What Happens in Vegas Could Shape the Metaverse

        competing incentives in building the metaverse, our view is that the metaverse can still succeed,” they write, “but it might call for a shift in mindset and an openness to learning from seemingly distant domains of knowledge.” Along those... View Details
        Keywords: by Scott Nover; Computer; Information Technology
        • Web

        Technology & Operations Management - Doctoral

        Alexandra C. Feldberg Jacqueline Ng Lane Maria P. Roche Innovation Iavor I. Bojinov Marco Iansiti Alan D. MacCormack Kyle R. Myers Maria P. Roche Stefan H. Thomke Machine learning Himabindu Lakkaraju Michael... View Details
        • 05 Feb 2024
        • Research & Ideas

        The Middle Manager of the Future: More Coaching, Less Commanding

        driven economy, suggests new research from Harvard Business School, and managers who can collaborate—not just supervise and discipline—are reaping the rewards. To support more autonomous, creative workers, organizations want managers to... View Details
        Keywords: by Ben Rand