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  • April 2020
  • Teaching Note

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: Marketing; Brands and Branding; Marketing Strategy; Advertising Industry; Technology Industry; United States; North America
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Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Teaching Note 520-103, April 2020.
  • February 2024
  • Case

SundaySky: Changing Customer Experiences through Personalized Video

By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
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Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
  • November 2017
  • Teaching Note

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand & Product Management; Big Data; "Marketing Analytics"; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
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Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Teaching Note 518-053, November 2017.
  • October 2022 (Revised December 2022)
  • Case

SMART: AI and Machine Learning for Wildlife Conservation

By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
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Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
  • October 31, 2022
  • Article

Achieving Individual—and Organizational—Value with AI

By: Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh and Michael Chu
New research shows that employees derive individual value from AI when using the technology improves their sense of competency, autonomy, and relatedness. Likewise, organizations are far more likely to obtain value from AI when their workers do. This report offers key... View Details
Keywords: AI and Machine Learning; Value; Competency and Skills
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Ransbotham, Sam, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu. "Achieving Individual—and Organizational—Value with AI." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 31, 2022). (Findings from the 2022 Artificial Intelligence and Business Strategy Global Executive Study and Research Project.)
  • February 2013
  • Case

Recorded Future: Analyzing Internet Ideas About What Comes Next

Recorded Future is a "big data" startup company that uses Internet data to make predictions about events, people, and entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The... View Details
Keywords: Big Data; Analytics; Internet; Analytics and Data Science; Internet and the Web; Entrepreneurship; Forecasting and Prediction; Business Startups; Information Technology Industry
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Davenport, Thomas H. "Recorded Future: Analyzing Internet Ideas About What Comes Next." Harvard Business School Case 613-083, February 2013.
  • April 2021 (Revised June 2021)
  • Case

IBM: Design Thinking

By: Srikant M. Datar, Amram Migdal and Paul Hamilton
This case describes the 2012-2020 effort at IBM to implement design thinking throughout the company and hire thousands of designers to serve on every product team alongside technical engineers and developers and product managers. IBM’s design transformation is told... View Details
Keywords: Business Ventures; Business Divisions; Business Units; Business Organization; Change; Change Management; Transformation; Competency and Skills; Talent and Talent Management; Design; Human Resources; Recruitment; Selection and Staffing; Innovation and Invention; Collaborative Innovation and Invention; Innovation and Management; Innovation Strategy; Jobs and Positions; Job Design and Levels; Leading Change; Management; Business or Company Management; Goals and Objectives; Management Practices and Processes; Operations; Product; Product Design; Product Development; Organizations; Business Processes; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Strategy; Adaptation; Adoption; Technological Innovation; Information Infrastructure; Information Technology; Technology Industry; Information Technology Industry; United States
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Datar, Srikant M., Amram Migdal, and Paul Hamilton. "IBM: Design Thinking." Harvard Business School Case 121-007, April 2021. (Revised June 2021.)
  • 2019
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been... View Details
Keywords: Fintech; Big Data; Data; Technology; Artificial Intelligence; Great Recession; Regulation; Innovation; Banks; Lending; Loans; Access To Capital; American Dream; Community Banking; Small Business Administration; Entrepreneur; Government; Public Policy; API; Policy Making; Small Business; Financing and Loans; Technological Innovation; Financial Crisis; Banks and Banking; Governing Rules, Regulations, and Reforms; Policy; AI and Machine Learning; Analytics and Data Science; United States
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Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
  • August 2023
  • Supplement

Reimagining Hindustan Unilever (B)

By: Sunil Gupta and Rachna Tahilyani
In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details
Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Organizational Change and Adaptation; Business Strategy; Marketing; Performance; Competition; E-commerce; Consumer Behavior; Transformation; Distribution; Decisions; Consumer Products Industry; Asia; India
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Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (B)." Harvard Business School Supplement 524-022, August 2023.
  • September 2023 (Revised January 2024)
  • Case

AI21 Labs in 2023: Strategy for Generative AI

By: David Yoffie, Orna Dan and Elena Corsi
Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details
Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel
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Yoffie, David, Orna Dan, and Elena Corsi. "AI21 Labs in 2023: Strategy for Generative AI." Harvard Business School Case 724-383, September 2023. (Revised January 2024.)
  • September 2020 (Revised July 2021)
  • Case

Moderna (A)

By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer and Kerry Herman
In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19. The case explores how a company builds a digital organization, and leverages artificial intelligence and other digital... View Details
Keywords: COVID-19; Vaccine; Digital Organizations; Organizational Structure; Operations; Management; Health Pandemics; Research and Development; Goals and Objectives
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Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, and Kerry Herman. "Moderna (A)." Harvard Business School Case 621-032, September 2020. (Revised July 2021.)
  • September 2010 (Revised July 2012)
  • Supplement

Recruiting Andrew Yard (C)

By: Brian J. Hall, Nicole Shae Bennett and Sara del Nido
This case describes a compensation negotiation between a global HR director and a candidate for a high-level executive position. The situation becomes awkward when the candidate feels insulted because he is given a monetary incentive to join the company more quickly... View Details
Keywords: Interpersonal Communication; Recruitment; Negotiation Offer; Performance Effectiveness; Emotions; Strategy
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Hall, Brian J., Nicole Shae Bennett, and Sara del Nido. "Recruiting Andrew Yard (C)." Harvard Business School Supplement 911-030, September 2010. (Revised July 2012.)
  • September 2010 (Revised July 2012)
  • Supplement

Recruiting Andrew Yard (B)

By: Brian J. Hall, Nicole Shae Bennett and Sara del Nido
This case describes a compensation negotiation between a global HR director and a candidate for a high-level executive position. The situation becomes awkward when the candidate feels insulted because he is given a monetary incentive to join the company more quickly... View Details
Keywords: Interpersonal Communication; Recruitment; Negotiation Offer; Performance Effectiveness; Emotions; Motivation and Incentives; Strategy
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Hall, Brian J., Nicole Shae Bennett, and Sara del Nido. "Recruiting Andrew Yard (B)." Harvard Business School Supplement 911-029, September 2010. (Revised July 2012.)
  • December 2021
  • Case

Burning Glass Technologies: From Data to Product

By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
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Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
  • 2023
  • Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
  • December 2023 (Revised August 2024)
  • Case

Monsters in the Machine? Tackling the Challenge of Responsible AI

By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
  • March 2022 (Revised June 2022)
  • Case

The United States National Security Apparatus, Multipolarity, and the Rise of Commercial Space

By: Matthew C. Weinzierl and Brendan L. Rosseau
In 2019, the U.S. national security community crossed a Rubicon by declaring that space was “a war-fighting domain” and undergoing a major reorganization, including the creation of the U.S. Space Force, the first new military branch in over 70 years. Military and... View Details
Keywords: War; National Security; International Relations; Power and Influence
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Weinzierl, Matthew C., and Brendan L. Rosseau. "The United States National Security Apparatus, Multipolarity, and the Rise of Commercial Space ." Harvard Business School Case 722-063, March 2022. (Revised June 2022.)
  • September 2010 (Revised December 2022)
  • Case

Recruiting Andrew Yard (A)

By: Brian J. Hall, Nicole S. Bennett and Sara del Nido
This case describes a compensation negotiation between a global HR director and a candidate for a high-level executive position. The situation becomes awkward when the candidate feels insulted because he is given a monetary incentive to join the company more quickly... View Details
Keywords: Communication Strategy; Interpersonal Communication; Executive Compensation; Negotiation; Negotiation Style; Emotions
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Hall, Brian J., Nicole S. Bennett, and Sara del Nido. "Recruiting Andrew Yard (A)." Harvard Business School Case 911-028, September 2010. (Revised December 2022.)
  • 17 May 2022
  • Cold Call Podcast

Delivering a Personalized Shopping Experience with AI

Keywords: Re: Jill J. Avery
  • July–August 2023
  • Article

What Smart Companies Know About Integrating AI

By: Silvio Palumbo and David Edelman
AI has the power to gather, analyze, and utilize enormous volumes of individual customer data to achieve precision and scale in personalization. The experiences of Mercury Financial, CVS Health, and Starbucks debunk the prevailing notion that extracting value from AI... View Details
Keywords: AI and Machine Learning; Customization and Personalization; Integration; Technology Adoption
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Palumbo, Silvio, and David Edelman. "What Smart Companies Know About Integrating AI." Harvard Business Review 101, no. 4 (July–August 2023): 116–125.
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