Machine Learning Models - Publications - Faculty & Research - Harvard Business School

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April 2022
Supplement

Mastercard Labs (B)

By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley

When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, digital technologies were on the rise, and innovation needed to become a strategic imperative at the company. Banga tasked Garry Lyons, who had joined Mastercard through the 2009 acquisition of Orbiscom,... View Details

November 2023
Case

Team Liquid: Fueling the Business of Fandom

By: Youngme Moon and Kerry Herman

In 2023, the co-CEOs of Team Liquid, one of the world's most prominent Esports organizations, are deciding whether and how to evolve their business model to include (1) a greater focus on enterprise revenue; and (2) more direct-to-consumer activity. Team Liquid has one... View Details

Keywords: Business Model; Customer Focus and Relationships; Games, Gaming, and Gambling; Revenue; Organizational Culture; Business and Community Relations; Video Game Industry

June 2025
Case

AI at QuantumBlack: McKinsey's Open Source Dilemma

By: Frank Nagle, Sam Boysel and Susan Pinckney

The case describes the history of QuantumBlack. In 2015, McKinsey acquired data analytics company QuantumBlack. QuantumBlack produced Kedro, a ML data pipeline tool that helped McKinsey’s customers manage their data in an effective manner to gain insights from machine... View Details

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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"Selective Attention and Learning"

What do we notice and how does this affect what we learn and come to believe? I present a model of an agent who learns to make forecasts on the basis of readily available information, but is selective as to which information he attends to: he chooses whether to... View Details

June 2025
Teaching Note

AI at QuantumBlack: McKinsey's Open Source Dilemma

By: Frank Nagle, Sam Boysel and Susan Pinckney

Teaching Note for HBS Case No. 725-433. The case describes the history of QuantumBlack. In 2015, McKinsey acquired data analytics company QuantumBlack. QuantumBlack produced Kedro, a ML data pipeline tool that helped McKinsey’s customers manage their data in an... View Details

September 2004 (Revised December 2004)
Case

Metso Paper: Globalization of Finnish Metal Workshops

By: Lynda M. Applegate, Marikka Heikkila and Kalle Lyytinen

Metso Paper, the world's largest producer of paper machines, aims to transform itself into a knowledge- and information-based service and solution provider for the paper industry by aggressively exploiting information technologies. In the fall of 2002, Jorma Hujala, a... View Details

Keywords: Production; Customer Value and Value Chain; Information Technology; Corporate Strategy; Knowledge Management; Machinery and Machining; Expansion; Service Delivery; Manufacturing Industry; Pulp and Paper Industry; Finland

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Research Summary

Ethics & Politics of Emerging Technologies

In this stream of research, my collaborators and I investigate the ethical, political, and social implications of computational technologies.

In this work, I often collaborate with academic colleagues in computer science by helping to... View Details

Keywords: Artificial Intelligence; Algorithms; Computational Social Science

December 2022 (Revised January 2025)
Case

Akooda: Charging Toward Operational Intelligence

By: Christopher Stanton and Mel Martin

The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details

Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel

January 2021 (Revised March 2021)
Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

March 2022
Case

Unilever: Remote Work in Manufacturing

By: Prithwiraj Choudhury and Susie L. Ma

In December 2021, Unilever—one of the world’s largest producers of consumer goods—was in the midst of a pilot project to digitize its manufacturing facilities and enable remote work for factory employees. This was possible because of an earlier project to retrofit a... View Details

Keywords: Change; Globalization; Information Technology; Technology Adoption; Human Resources; Jobs and Positions; Operations; Education; Training; Manufacturing Industry

Web

Designing Tech Ventures - Course Catalog

HBS Course Catalog Designing Tech Ventures Course Number 5240 Professor of Engineering Robert Howe Senior Lecturer Tom Clay Fall; Q1Q2; 3.0 credits Please note this course meets on Mondays and Wednesdays from 3:50-5:10pm Course Description Launching a successful... View Details

17 Oct 2016
News

How to Hire with Algorithms

09 Jun 2016
News

Innovative Business/IT Solutions: An interview with Assistant Professor Kris Ferreira

Article

Incorporating Interpretable Output Constraints in Bayesian Neural Networks

By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez

Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details

October 14, 2019
Article

How Artificial Intelligence Is Changing Health Care Delivery

By: Samantha F. Sanders, Mats Terwiesch, William J. Gordon and Ariel Dora Stern

The development of intelligent machines holds great promise for making health care delivery more accurate, efficient, and accessible, but challenges remain for incorporating AI into clinical and administrative settings. View Details

Keywords: Artificial Intelligence; Health Care and Treatment; Service Delivery; Technological Innovation; AI and Machine Learning

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April 2021 (Revised August 2021)
Case

Borusan CAT: Monetizing Prediction in the Age of AI (A)

By: Navid Mojir and Gamze Yucaoglu

Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to... View Details

Keywords: Monetization Strategy; Artificial Intelligence; AI; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey

2020
Working Paper

Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details

Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States

Article

The Business Case for Curiosity

By: Francesca Gino

Although leaders might say they value inquisitive minds, in reality most stifle curiosity, fearing it will increase risk and inefficiency. Harvard Business School’s Francesca Gino elaborates on the benefits of and common barriers to curiosity in the workplace and... View Details

Keywords: Organizational Culture; Employees; Creativity; Cognition and Thinking; Learning; Decision Making; Performance Effectiveness

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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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