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Show Results For
-
All HBS Web
(1,353)
- People (4)
- News (416)
- Research (579)
- Events (9)
- Multimedia (20)
- Faculty Publications (390)
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- April 2021
- Case
Distinct Software
By: Das Narayandas, Arijit Sengupta and Jonathan Wray
Distinct Software (disguised name), a global enterprise software company, is at an important point in its growth trajectory where the luster of its mantra of “grow and win at any cost” has dimmed with increasing competition and margin pressures. To help navigate its...
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Keywords:
Artificial Intelligence;
Marketing;
Sales;
Performance Productivity;
Technological Innovation;
AI and Machine Learning
Narayandas, Das, Arijit Sengupta, and Jonathan Wray. "Distinct Software." Harvard Business School Case 521-101, April 2021.
- Article
A Collective Biological Processing Algorithm for EKG Signals
By: Mike Horia Teodorescu
We establish and explore an analogy between hunting by packs of agents and signal processing. We present a version of adaptive ‘Hunting Swarm’ algorithm (HSA), apply it to EKG signals, and investigate the influence of the model parameters on the filtering of stationary...
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Teodorescu, Mike Horia. "A Collective Biological Processing Algorithm for EKG Signals." Proceedings of the International Conference on Bio-inspired Systems and Signal Processing 4th (2011): 413–420. (IEEE BIOSIGNALS 2011.)
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can...
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Keywords:
Inventory Management;
Demand Forecasting;
Artificial Intelligence;
Machine Learning;
Forecasting and Prediction;
Operations;
Management;
Decision Making;
AI and Machine Learning;
Apparel and Accessories Industry;
Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation...
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Keywords:
Artificial Intelligence;
AI Creativity;
Computer Science;
Organizational Behavior;
Psychology;
Creativity;
Technological Innovation;
AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
- 30 Nov 2021
- Interview
TikTok: Super App or Supernova?
By: Jeffrey F. Rayport and Brian Kenny
TikTok’s parent company, ByteDance, was launched in 2012 around the simple idea of helping users entertain themselves on their smartphones while on the Beijing Subway. By May 2020, TikTok operated in 155 countries and had roughly 1 billion monthly active users, placing...
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Keywords:
Apps;
Artificial Intelligence;
Business Startups;
Mobile and Wireless Technology;
Business Model;
Digital Platforms;
Growth and Development Strategy;
AI and Machine Learning;
Social Media
"TikTok: Super App or Supernova?" Cold Call (podcast), Harvard Business Review Group, November 30, 2021. (Interviewed by Brian Kenny.)
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,...
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Keywords:
Artificial Intelligence;
Data Labeling;
Entrepreneurship;
Strategy;
Operations;
Business Model;
Growth Management;
Growth and Development Strategy;
AI and Machine Learning;
Africa;
Madagascar;
Europe;
France;
United States
Lakhani, Karim R., Pippa Armerding, Gamze Yucaoglu, and Fares Khrais. "SmartOne: Building an AI Data Business." Harvard Business School Case 622-059, October 2021. (Revised September 2022.)
- May 2017 (Revised March 2018)
- Case
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...
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Keywords:
Retailing;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Analytics and Data Science;
Forecasting and Prediction;
E-commerce;
Apparel and Accessories Industry;
Consumer Products Industry;
Fashion Industry;
Retail Industry;
United States;
Canada;
North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- June 2024
- Teaching Note
Numenta in 2020: The Future of AI
By: David B. Yoffie
In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This teaching note explores the challenges of building a...
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- May 2024
- Supplement
HubSpot and Motion AI (B): Generative AI Opportunities
By: Jill Avery
The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI...
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Keywords:
Artificial Intelligence;
CRM;
Chatbots;
Sales Management;
Generative Ai;
SaaS;
Marketing;
Sales;
AI and Machine Learning;
Customer Relationship Management;
Applications and Software;
Technological Innovation;
Competitive Advantage;
Technology Industry;
United States
Avery, Jill. "HubSpot and Motion AI (B): Generative AI Opportunities." Harvard Business School Supplement 524-088, May 2024.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- May 2020
- Case
Numenta in 2020: The Future of AI
By: David B. Yoffie, Cameron Armstrong, Mei Tao and Marta Zwierz
In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This case explores the challenges of building a business...
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Keywords:
Artificial Intelligence;
Monetization;
Information Technology;
Strategy;
Intellectual Property;
Business Model;
AI and Machine Learning;
Technology Industry
Yoffie, David B., Cameron Armstrong, Mei Tao, and Marta Zwierz. "Numenta in 2020: The Future of AI." Harvard Business School Case 720-463, May 2020.
- November–December 2023
- Article
Network Centralization and Collective Adaptability to a Shifting Environment
By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more...
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Keywords:
Network Centralization;
Collective Intelligence;
Organizational Change and Adaptation;
Organizational Structure;
Communication;
Decision Making;
Networks;
Adaptation
Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt...
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Keywords:
Artificial Intelligence;
Market Research;
Business Model;
Finance;
Revenue;
Decision Making;
Risk and Uncertainty;
Market Entry and Exit;
Applications and Software;
AI and Machine Learning;
Information Technology Industry;
Auto Industry;
United States
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
- December 2023 (Revised August 2024)
- Supplement
Microsoft Azure and the Cloud Wars (B)
By: Andy Wu and Matt Higgins
By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had...
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Keywords:
Microsoft;
Artificial Intelligence;
AI;
Competition;
Information Infrastructure;
Market Participation
Wu, Andy, and Matt Higgins. "Microsoft Azure and the Cloud Wars (B)." Harvard Business School Supplement 724-434, December 2023. (Revised August 2024.)
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a...
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Keywords:
Artificial Intelligence;
Algorithmic Bias;
Technological Innovation;
Perception;
Diversity;
Equality and Inequality;
Trust;
AI and Machine Learning
Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
- Article
Fake AI People Won't Fix Online Dating
Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime.
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Keywords:
Artificial Intelligence;
Dating Services;
Internet and the Web;
Ethics;
AI and Machine Learning
Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).
- August 2023
- Case
Kariyer.net: Recruiting AI
By: Shunyuan Zhang, Fares Khrais and Namrata Arora
In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal...
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Keywords:
Online Technology;
Marketing;
Websites;
Artificial Intelligence;
Innovation;
Two-sided Platforms;
Internet and the Web;
Product Launch;
Product Positioning;
Job Search;
Employment;
Transformation;
Volatility;
Innovation and Invention;
Disruptive Innovation;
Management Practices and Processes;
Business Growth and Maturation;
Competitive Strategy;
Business Startups;
Talent and Talent Management;
Cost vs Benefits;
Macroeconomics;
Corporate Entrepreneurship;
Emerging Markets;
Digital Platforms;
Employment Industry;
Information Technology Industry;
Technology Industry;
Middle East;
Turkey
Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
- 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...
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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
Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
- April 2021 (Revised August 2021)
- Case
Borusan CAT: Monetizing Prediction in the Age of AI (A)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to...
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Keywords:
Monetization Strategy;
Artificial Intelligence;
AI;
Forecasting and Prediction;
Applications and Software;
Technological Innovation;
Marketing;
Segmentation;
AI and Machine Learning;
Construction Industry;
Turkey
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (A)." Harvard Business School Case 521-053, April 2021. (Revised August 2021.)
- February 2022
- Teaching Note
Borusan CAT: Monetizing Prediction in the Age of AI
By: Navid Mojir
Teaching Note for HBS Case No. 521-053.
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