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- All HBS Web (274)
- Faculty Publications (136)
- February 2022 (Revised September 2022)
- Case
InstaDeep: AI Innovation Born in Africa (A)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.]....
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Keywords:
AI;
Artificial Intelligence;
Entrepreneurship;
Operations;
Business Subsidiaries;
Brands and Branding;
Innovation and Invention;
Growth and Development Strategy;
AI and Machine Learning;
Technology Industry;
Africa
Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (A)." Harvard Business School Case 822-104, February 2022. (Revised September 2022.)
- February 2022 (Revised July 2022)
- Supplement
InstaDeep: AI Innovation Born in Africa (B)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.]....
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Keywords:
AI;
Artificial Intelligence;
Entrepreneurship;
Operations;
Business Subsidiaries;
Brands and Branding;
Innovation and Invention;
Growth and Development Strategy;
AI and Machine Learning;
Technology Industry;
Africa
Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (B)." Harvard Business School Supplement 822-105, February 2022. (Revised July 2022.)
- Teaching Interest
Overview
Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence
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- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of...
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Keywords:
Artificial Intelligence;
Marketing;
Decision Making;
Communication;
Framework;
AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the...
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Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
- 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.
- 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.
- Research Summary
Ethics & Politics of Emerging Technologies
In this stream of research, my collaborators and I investigate the ethical, political, and social implications of computational technologies.
In this work, I often collaborate with academic colleagues in computer science by helping to...
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- 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.)
- 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 2019 (Revised March 2021)
- Background Note
Modern Automation (B): Robotics
By: William R. Kerr and James Palano
Driven largely by advances in perception and situational awareness, robots in the 2010s were gaining functionality that allowed them to be applied to fundamentally new types of work. The expanding range of new tasks that could be completed by machines had significant...
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Keywords:
Robotics;
Artificial Intelligence;
Future Of Work;
Technology Commercialization;
Information Technology;
Commercialization;
Employment;
AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (B): Robotics." Harvard Business School Background Note 820-069, October 2019. (Revised March 2021.)
- 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.
- 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.)
- 2022
- Book
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
By: Paul Leonardi and Tsedal Neeley
The pressure to "be digital" has never been greater, but you can meet the challenge.
The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive...
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Keywords:
Digital;
Artificial Intelligence;
Big Data;
Digital Transformation;
Technological Innovation;
Transformation;
Learning;
Competency and Skills
Leonardi, Paul, and Tsedal Neeley. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. Boston, MA: Harvard Business Review Press, 2022.
- 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).
- 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).
- 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.
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time...
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Keywords:
Artificial Intelligence;
Platform;
Interactive Physical Simulation;
Virtual Environment;
Multi-modal;
AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (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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