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January 2019 (Revised October 2019)
Case

Liulishuo: AI English Teacher

By: John J-H Kim and Shu Lin

Educators and entrepreneurs alike are excited about the potential for artificial intelligence (AI) and machine learning to change the way learning will look like in the future. There is a confluence of factors such as the availability of large sources of rich,... View Details

Keywords: AI; Artificial Intelligence; Education Technology; Information Technology; Education; Entrepreneurship; AI and Machine Learning; Education Industry; China

2019
Article

An Empirical Study of Rich Subgroup Fairness for Machine Learning

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details

Keywords: Machine Learning; Fairness; AI and Machine Learning

Article

Faithful and Customizable Explanations of Black Box Models

By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec

As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details

Keywords: Interpretable Machine Learning; Black Box Models; Decision Making; Framework

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

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

December 2018
Case

Choosy

By: Jeffrey J. Bussgang and Julia Kelley

Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages.... View Details

October 2018
Case

Shield AI

By: Mitchell Weiss and A.J. Steinlage

Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details

October 2018
Case

American Family Insurance and the Artificial Intelligence Opportunity

By: Rajiv Lal and Scott Johnson

October 2018
Article

The Operational Value of Social Media Information

By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang

While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details

Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media

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September 2018 (Revised December 2019)
Case

Zebra Medical Vision

By: Shane Greenstein and Sarah Gulick

An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details

2020
Working Paper

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details

Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis

August 2018 (Revised April 2019)
Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details

Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis

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

August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

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

2018
Working Paper

Some Facts of High-Tech Patenting

By: Michael Webb, Nick Short, Nicholas Bloom and Josh Lerner

Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are acquired primarily by large U.S. technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon,... View Details

Keywords: Patents; Applications and Software; Technological Innovation; United States

April 2018 (Revised February 2019)
Supplement

Improving Worker Safety in the Era of Machine Learning (B)

By: Michael W. Toffel, Dan Levy, Astrid Camille Pineda, Jose Ramon Morales Arilla and Matthew S. Johnson

Supplements the (A) case. View Details

March 2018
Case

IBM: Watson and the Internet of Things

By: Rajiv Lal and Scott Johnson

IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market. View Details

Keywords: IBM; Internet Of Things; Watson; Artificial Intelligence; Internet and the Web; Applications and Software; Mobile and Wireless Technology; Growth and Development Strategy; Emerging Markets; AI and Machine Learning; Technology Industry

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

February 2018
Case

Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home

By: Rajiv Lal and Scott Johnson

Amazon, Google, and Apple all offer their own smart speaker. The devices represent each firm's entry point into the connected home market. All three companies come into the space with their own strengths and weaknesses. Who will win? View Details

February 2018 (Revised March 2018)
Case

Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)

By: Lauren Cohen, Christopher Malloy and William Powley

This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services... View Details

Keywords: Technological Innovation; Finance; Growth and Development Strategy; Business Model; Applications and Software; Infrastructure; Technology Industry; Financial Services Industry

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