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      Machine Learning ModelsRemove Machine Learning Models →

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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
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      Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
      • 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
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
      • 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
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
      • 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
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      Healy, Paul, and Siko Sikochi. "Revenue Recognition at HBP." Harvard Business School Case 119-029, August 2018. (Revised July 2020.)
      • 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
      Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
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      Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
      • August 2018 (Revised October 2020)
      • Case

      Tailor Brands: Artificial Intelligence-Driven Branding

      By: Jill Avery
      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
      Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
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      Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
      • 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
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      Webb, Michael, Nick Short, Nicholas Bloom, and Josh Lerner. "Some Facts of High-Tech Patenting." Harvard Business School Working Paper, No. 19-014, August 2018. (NBER Working Paper Series, No. 24793, July 2018.)
      • 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
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
      • 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
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      Toffel, Michael W., Dan Levy, Astrid Camille Pineda, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (B)." Harvard Business School Supplement 618-064, April 2018. (Revised February 2019.)
      • 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
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      Kim, John J-H, and Aldo Sesia. "Summit Public Schools (A)." Harvard Business School Case 318-067, March 2018.
      • 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
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      Lal, Rajiv, and Scott Johnson. "IBM: Watson and the Internet of Things." Harvard Business School Case 518-027, March 2018.
      • 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
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      Kerr, William R., and Emer Moloney. "Vodafone: Managing Advanced Technologies and Artificial Intelligence." Harvard Business School Case 318-109, February 2018.
      • 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
      Keywords: Apple; Apple Inc.; Google; Amazon; Amazon.com; Google Home; Homepod; Echo; Smart Home; Connected Home; Voice; Artificial Intelligence; Machine Learning; Internet Of Things; Smart Speaker; Connected Speaker; Intelligent Assistants; Virtual Assistants; Voice Assistants; Alexa; Google Assistant; Siri; Technological Innovation; Disruptive Innovation; Competitive Strategy; Business Strategy; Adoption; Information Infrastructure; Information Technology; Internet and the Web; Mobile and Wireless Technology; Applications and Software; Technology Adoption; Digital Platforms; Household; AI and Machine Learning; Electronics Industry; Technology Industry; United States
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      Lal, Rajiv, and Scott Johnson. "Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home." Harvard Business School Case 518-035, February 2018.
      • 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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      Cohen, Lauren, Christopher Malloy, and William Powley. "Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)." Harvard Business School Case 218-080, February 2018. (Revised March 2018.)
      • 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
      Keywords: CRM; Sales Management; Customer Service; Artificial Intelligence; B2B Vs. B2C; Business Marketing; SaaS; Marketing; Marketing Strategy; Brands and Branding; Customer Focus and Relationships; Sales; Salesforce Management; Technological Innovation; Applications and Software; Customer Relationship Management; AI and Machine Learning; Technology Industry; Service Industry; United States; North America
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      Avery, Jill, and Thomas Steenburgh. "HubSpot and Motion AI: Chatbot-Enabled CRM." Harvard Business School Case 518-067, February 2018. (Revised October 2019.)
      • 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
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      Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
      • 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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      Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
      • 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
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      Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
      • 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
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      Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
      • 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
      Keywords: Child Care; Childcare; Day Care; Daycare; Early Childhood Education; Strategy; Growth and Development Strategy; Growth Management; Business Strategy; Competitive Strategy; Competitive Advantage; Expansion; Leadership; Marketing; Product Marketing; Brands and Branding; Service Delivery; Service Operations; Product Design; Product Development; Cross-Cultural and Cross-Border Issues; Selection and Staffing; Customer Focus and Relationships; Entrepreneurship; Service Industry; Education Industry; United States; Canada
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      Groysberg, Boris, Matthew G. Preble, and Katherine Connolly Baden. "Kids & Company: Entering the U.S." Harvard Business School Case 418-011, January 2018.
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