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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 September 2018)
Case

LendingClub (A): Data Analytic Thinking (Abridged)

By: Srikant M. Datar and Caitlin N. Bowler

LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details

Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model

August 2018 (Revised September 2018)
Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

August 2018 (Revised July 2020)
Case

Revenue Recognition at HBP

By: Paul Healy and Siko Sikochi

In early 2014, Paul Bills, CFO of Harvard Business Publishing (HBP), sat down with David Wan, the company’s CEO, to discuss budget preparations for the coming year. Bills noted that the performance of Corporate Learning, one of HBP’s three business units, would be... View Details

Keywords: Accrual Accounting; Budgets and Budgeting; Revenue Recognition; Financial Reporting; Publishing Industry; Education Industry; United States

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

2018
Working Paper

Channeled Attention and Stable Errors -- Previous Working Version

By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein

A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker... View Details

Keywords: Perception; Behavior; Theory; Situation or Environment

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

Summit Public Schools (A)

By: John J-H Kim and Aldo Sesia

Summit Public Schools was a very successful charter management organization with schools in California and Washington State. The students came from a variety of socioeconomic backgrounds, many from economically disadvantaged households. While nearly all of its students... View Details

Keywords: K-12; Online Learning; Virtual Learning; Blended Learning; Secondary Education; Middle School Education; Early Childhood Education; Learning; Business Model; Performance Improvement; Technology

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

February 2018 (Revised October 2019)
Case

HubSpot and Motion AI: Chatbot-Enabled CRM

By: Jill Avery and Thomas Steenburgh

HubSpot, an inbound marketing, sales, and customer relationship management (CRM) software provider, announced that it had acquired Motion AI, a software platform that enabled companies to easily build and deploy chatbots, fueled by artificial intelligence, to interact... View Details

February 2018 (Revised June 2021)
Case

New Constructs: Disrupting Fundamental Analysis with Robo-Analysts

By: Charles C.Y. Wang and Kyle Thomas

This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details

Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee

February 2018
Article

Retention Futility: Targeting High-Risk Customers Might Be Ineffective.

By: Eva Ascarza

Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details

Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management

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2019
Working Paper

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna

We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details

Keywords: Spoken Communication; Business History; Analytics and Data Science; Finance; Performance

January 2018 (Revised March 2019)
Case

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

By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano

The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details

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

January 2018
Case

Kids & Company: Entering the U.S.

By: Boris Groysberg, Matthew G. Preble and Katherine Connolly Baden

In April 2017, Victoria Sopik and Jennifer Nashmi, CEO and CFO (respectively) of Kids & Company, a Canadian childcare provider that they had co-founded in the early 2000s and developed into a nearly 100-unit enterprise, are discussing how the company should proceed... View Details

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