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All HBS Web
(2,837)
- Faculty Publications (511)
- 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.
- 2020
- Article
Public Sentiment and the Price of Corporate Sustainability
By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong...
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Keywords:
Sustainability;
ESG;
ESG (Environmental, Social, Governance) Performance;
Investment Management;
Investment Strategy;
Big Data;
Machine Learning;
Environment;
Environmental Sustainability;
Corporate Governance;
Performance;
Asset Pricing;
Investment;
Management;
Strategy;
Human Capital;
Public Opinion;
Value;
Analytics and Data Science
Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
- April 29, 2020
- Article
The Case for AI Insurance
By: Ram Shankar Siva Kumar and Frank Nagle
When organizations place machine learning systems at the center of their businesses, they introduce the risk of failures that could lead to a data breach, brand damage, property damage, business interruption, and in some cases, bodily harm. Even when companies are...
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Keywords:
Artificial Intelligence;
Machine Learning;
Internet and the Web;
Safety;
Insurance;
AI and Machine Learning;
Cybersecurity
Kumar, Ram Shankar Siva, and Frank Nagle. "The Case for AI Insurance." Harvard Business Review Digital Articles (April 29, 2020).
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes...
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Keywords:
Exploratory Learning Behaviors;
Modeling;
Artificial Intelligence;
AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- April 2020 (Revised July 2020)
- Case
Amazon in China and India
By: Krishna G. Palepu and Kairavi Dey
Amazon has been unsuccessful in its efforts to develop a business in China. Even though Amazon was an early entrant into China’s e-commerce space, its domestic rivals, especially Alibaba, created innovative business models uniquely suited for the conditions in China. ...
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Keywords:
Global Strategy;
Multinational Firms and Management;
Emerging Markets;
Business Strategy;
Expansion;
Business Model;
Retail Industry;
China;
India;
United States
Palepu, Krishna G., and Kairavi Dey. "Amazon in China and India." Harvard Business School Case 120-111, April 2020. (Revised July 2020.)
- 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...
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- 2020
- Conference Presentation
Active World Model Learning with Progress-driven Exploration
By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
- April 2020
- Article
CEO Behavior and Firm Performance
By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level...
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Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging...
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Keywords:
Machine Learning;
Causal Inference;
Health Care and Treatment;
Safety;
Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and...
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Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about...
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Keywords:
Artificial Intelligence;
Design Thinking;
Technological Innovation;
Design;
Change;
Theory;
AI and Machine Learning
Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
- February 2020
- Technical Note
Talent Management and the Future of Work
By: William R. Kerr and Gorick Ng
The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes...
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Keywords:
Human Resource Management;
Human Capital Development;
Human Resource Practices;
Talent;
Talent Acquisition;
Talent Development;
Talent Development And Retention;
Talent Management;
Talent Retention;
Labor Flows;
Labor Management;
Labor Market;
Strategy Development;
Strategy Management;
Strategy Execution;
Strategy And Execution;
Strategic Change;
Transformations;
Organization;
Organization Alignment;
Organization Design;
Organizational Adaptation;
Organizational Effectiveness;
Management Challenges;
Management Of Business And Political Risk;
Change Leadership;
Future Of Work;
Future;
Skills Gap;
Skills Development;
Skills;
Offshoring And Outsourcing;
Investment;
Capital Allocation;
Work;
Work Culture;
Work Force Management;
Work/life Balance;
Work/family Balance;
Work-family Boundary Management;
Workers;
Worker Productivity;
Worker Performance;
Work Engagement;
Work Environment;
Work Environments;
Productivity;
Organization Culture;
Soft Skills;
Technology Management;
Technological Change;
Technological Change: Choices And Consequences;
Technology Diffusion;
Disruptive Technology;
Global Business;
Global;
Workplace;
Workplace Context;
Workplace Culture;
Workplace Wellness;
Collaboration;
Competencies;
Productivity Gains;
Digital;
Digital Transition;
Competitive Dynamics;
Competitiveness;
Competitive Strategy;
Data Analytics;
Data;
Data Management;
Data Strategy;
Data Protection;
Aging Society;
Diversity;
Diversity Management;
Millennials;
Communication Complexity;
Communication Technologies;
International Business;
Work Sharing;
Global Competitiveness;
Global Corporate Cultures;
Intellectual Property;
Intellectual Property Management;
Intellectual Property Protection;
Intellectual Capital And Property Issues;
Globalization Of Supply Chain;
Inequality;
Recruiting;
Hiring;
Hiring Of Employees;
Training;
Job Cuts And Outsourcing;
Job Performance;
Job Search;
Job Design;
Job Satisfaction;
Jobs;
Employee Engagement;
Employee Attitude;
Employee Benefits;
Employee Compensation;
Employee Fairness;
Employee Relationship Management;
Employee Retention;
Employee Selection;
Employee Motivation;
Employee Feedback;
Employee Coordination;
Employee Performance Management;
Employee Socialization;
Process Improvement;
Application Performance Management;
Stigma;
Institutional Change;
Candidates;
Digital Enterprise;
Cultural Adaptation;
Cultural Change;
Cultural Diversity;
Cultural Context;
Cultural Strategies;
Cultural Psychology;
Cultural Reform;
Performance;
Performance Effectiveness;
Performance Management;
Performance Evaluation;
Performance Appraisal;
Performance Feedback;
Performance Measurement;
Performance Metrics;
Performance Measures;
Performance Efficiency;
Efficiency;
Performance Analysis;
Performance Appraisals;
Performance Improvement;
Automation;
Artificial Intelligence;
Technology Companies;
Managerial Processes;
Skilled Migration;
Assessment;
Human Resources;
Management;
Human Capital;
Talent and Talent Management;
Retention;
Demographics;
Labor;
Strategy;
Change;
Change Management;
Transformation;
Organizational Change and Adaptation;
Organizational Culture;
Working Conditions;
Information Technology;
Technology Adoption;
Disruption;
Economy;
Competition;
Globalization;
AI and Machine Learning;
Digital Transformation
Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.
- 2020
- Working Paper
Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation
By: Michael Yeomans and Alison Wood Brooks
Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every...
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Keywords:
Natural Language Processing;
Interpersonal Communication;
Perspective;
Decision Making;
Perception
Yeomans, Michael, and Alison Wood Brooks. "Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation." Harvard Business School Working Paper, No. 20-077, February 2020.
- January–February 2020
- Article
Competing in the Age of AI
By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the...
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Keywords:
Artificial Intelligence;
Algorithms;
Technological Innovation;
Business Model;
Competition;
Competitive Strategy;
AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. "Competing in the Age of AI." Harvard Business Review 98, no. 1 (January–February 2020): 60–67.
- 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).
- 2020
- Book
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
By: Marco Iansiti and Karim R. Lakhani
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very...
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Keywords:
Artificial Intelligence;
Technological Innovation;
Change;
Competition;
Strategy;
Leadership;
Business Processes;
Organizational Change and Adaptation;
AI and Machine Learning
Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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Keywords:
Autoencoder Networks;
Pattern Detection;
Subset Scanning;
Computer Vision;
Statistical Methods And Machine Learning;
Machine Learning;
Deep Learning;
Data Mining;
Big Data;
Large-scale Systems;
Mathematical Methods;
Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 2020
- Conference Presentation
Learning World Models with Progress-driven Exploration
By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
- December 2019 (Revised February 2024)
- Teaching Note
Ripple: The Business of Crypto and Ripple 2023
By: David B. Yoffie
The case explores Ripple CEO Brad Garlinghouse’s mission to disrupt the global payments industry by leveraging the cryptocurrency XRP. Students will learn about Bitcoin and the blockchain industry, as well as Ripple’s unique crypto business model. The case provides an...
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Keywords:
Payment Systems;
Cryptocurrency;
Bitcoin;
Blockchain;
Fintech;
Business Startups;
Business Model;
Disruption;
Strategy
- December 2019 (Revised November 2021)
- Course Overview Note
The Entrepreneurial Manager: Spring 2022
By: Mitchell Weiss and Benjamin Henkes
This is the course overview note for “The Entrepreneurial Manager,” taught in the first year at Harvard Business School. Students will learn how to be opportunity-driven managers and how to lead under uncertainty. They'll learn how to identify opportunities, how to...
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Weiss, Mitchell, and Benjamin Henkes. "The Entrepreneurial Manager: Spring 2022." Harvard Business School Course Overview Note 820-082, December 2019. (Revised November 2021.)