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October 2019
Article

Making Sense of Recommendations

By: Michael Yeomans, Anuj Shah, Sendhil Mullainathan and Jon Kleinberg

Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these algorithms because they are cheap to scale, we do not know how they compare to human judgment. Here, we compare computer... View Details

Keywords: Recommender Systems; Artificial Intelligence; Interpretability; Information Technology; Forecasting and Prediction; Decision Making; Attitudes

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June 2025
Supplement

Transforming a Titan (B)

By: George Serafeim and Lena Duchene

After a global search the board appoints Marcel Cobuz—ex-LafargeHolcim executive with deep innovation experience—as TITAN’s first non-family CEO. Cobuz co-creates a four-pillar roadmap: sharpen the core cement portfolio, accelerate low-carbon products and aggregates,... View Details

Keywords: AI; Artificial Intelligence; CEO Succession; CEO Role; Family Business

February 2022 (Revised February 2023)
Case

TikTok in 2020: Super App or Supernova? (Abridged)

By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien

TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea—helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details

Keywords: Digital Platform; Artificial Intelligence; AI; Mobile App; Mobile App Industry; Mobile and Wireless Technology; Market Entry and Exit; Brands and Branding; Growth and Development Strategy; China

July 2019 (Revised November 2019)
Case

Osaro: Picking the Best Path

By: William R. Kerr, James Palano and Bastiane Huang

The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details

Research Summary

Overview

By: Roberto Verganti

Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection... View Details

Keywords: Integrated Design; Strategy; Design Thinking; Innovation; Artificial Intelligence; Design; Technology; Leadership; Innovation Strategy

January 2024 (Revised February 2024)
Case

Data-Driven Denim: Financial Forecasting at Levi Strauss

The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details

Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States

December 2018
Teaching Note

Autonomous Vehicles: The Rubber Hits the Road…but When?

By: William Kerr and James Palano

The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about... View Details

Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Management; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry

October 2019 (Revised March 2021)
Background Note

Modern Automation (B): Robotics

By: William R. Kerr and James Palano

Driven largely by advances in perception and situational awareness, robots in the 2010s were gaining functionality that allowed them to be applied to fundamentally new types of work. The expanding range of new tasks that could be completed by machines had significant... View Details

Keywords: Robotics; Artificial Intelligence; Future Of Work; Technology Commercialization; Information Technology; Commercialization; Employment; AI and Machine Learning

July 2024
Case

Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones

By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan

Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices... 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

February 2024
Teaching Note

Data-Driven Denim: Financial Forecasting at Levi Strauss

Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details

Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States

2021
Article

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins

We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details

Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning

July 2019
Teaching Note

Miroglio Fashion

By: Sunil Gupta

Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details

Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; Marketing; AI and Machine Learning; Apparel and Accessories Industry; Apparel and Accessories Industry

February 2024
Technical Note

AI Product Development Lifecycle

By: Michael Parzen, Jessie Li and Marily Nika

In this article, we will discuss the concept of AI Products, how they are changing our daily lives, how the field of AI & Product Management is evolving, and the AI Product Development Lifecycle. View Details

Keywords: Artificial Intelligence; Product Management; Product Life Cycle; Technology; AI and Machine Learning; Product Development

Research Summary

Overview

By: Himabindu Lakkaraju

I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details

Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support

2025
Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni

AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

Research Summary

Overview

My work assists small business entrepreneurs, and high-growth technology firms that serve them, to grow with technology and AI in emerging economies. View Details

Keywords: Economic Development; Experimentation; Environment; Entrepreneurship; Artificial Intelligence

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

March–April 2021
Article

Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others.

By: Gerald C. Kane and Lynn Wu

Organizations have long sought to improve employee performance by managing knowledge more effectively. In this paper, we test whether the adoption of digital tools for expertise search and access within an organization, often referred to as a support to an... View Details

Keywords: Digital Tools; Social Media; Social Networks; Transactive Memory Systems; Augmented Intelligence; Artificial Intelligence; Social and Collaborative Networks; Gender; Equality and Inequality; Technology Adoption; Knowledge Management; Performance Improvement; Power and Influence; Organizational Change and Adaptation

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2020
Article

A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?

By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam

Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role... View Details

Keywords: Sales Compensation; Sales Management; Sales Strategy; Principal-agent Theory; Structural Econometrics; Field Experiments; Machine Learning; Artificial Intelligence; Salesforce Management; Compensation and Benefits; Motivation and Incentives; AI and Machine Learning

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