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All HBS Web
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- Faculty Publications (263)
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- 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.
- March 2020
- Case
Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire
By: Ayelet Israeli, Danilo Tauro and Sarah Gulick
This case provides a post-mortem of the advertising technology (adtech) company Sizmek. Sizmek grew via multiple acquisitions, with the vision of becoming an integrated adtech company that could leverage AI to buy digital media, while creating and serving display and...
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Keywords:
Digital Marketing;
Insolvency and Bankruptcy;
Mergers and Acquisitions;
Applications and Software;
Internet and the Web;
Competition;
Marketing;
Advertising Industry;
Web Services Industry;
United States;
Europe
Israeli, Ayelet, Danilo Tauro, and Sarah Gulick. "Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire." Harvard Business School Case 520-087, 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.
- 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.
- November 2019 (Revised March 2021)
- Background Note
AI and Finance in 2019
By: Karim R. Lakhani, Marco Di Maggio, Marco Iansiti and Aldo Sesia
Lakhani, Karim R., Marco Di Maggio, Marco Iansiti, and Aldo Sesia. "AI and Finance in 2019." Harvard Business School Background Note 220-017, November 2019. (Revised March 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.
- October 2019
- Case
Leading Bank Leumi into the Future
By: Joshua D. Margolis, Allison M. Ciechanover, Nicole Keller and Danielle Golan
An unlikely but highly effective leader of a traditional bank, Rakefet Russak-Aminoach, simultaneously leads a classic change effort and an unconventional effort to innovate. She focuses her initial energy on making the bank more efficient in the face of industry...
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Keywords:
Mobile Banking;
Digital Banking;
Fintech;
Startup;
Financial Services;
Artificial Intelligence;
Innovation;
Efficiency;
Organizational Change;
Personal Development;
Female Ceo;
Banks and Banking;
Mobile and Wireless Technology;
Leadership;
Organizational Change and Adaptation;
Innovation and Invention;
Disruption;
Information Technology;
Opportunities;
Performance Effectiveness;
Personal Development and Career;
AI and Machine Learning;
Financial Services Industry;
Banking Industry;
Israel
Margolis, Joshua D., Allison M. Ciechanover, Nicole Keller, and Danielle Golan. "Leading Bank Leumi into the Future." Harvard Business School Case 420-063, October 2019.
- 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.)
- October 14, 2019
- Article
How Artificial Intelligence Is Changing Health Care Delivery
By: Samantha F. Sanders, Mats Terwiesch, William J. Gordon and Ariel Dora Stern
The development of intelligent machines holds great promise for making health care delivery more accurate, efficient, and accessible, but challenges remain for incorporating AI into clinical and administrative settings.
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Keywords:
Artificial Intelligence;
Health Care and Treatment;
Service Delivery;
Technological Innovation;
AI and Machine Learning
Sanders, Samantha F., Mats Terwiesch, William J. Gordon, and Ariel Dora Stern. "How Artificial Intelligence Is Changing Health Care Delivery." NEJM Catalyst (October 17, 2019).
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media...
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Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- August 2019 (Revised March 2022)
- Case
Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart
By: Elie Ofek and Danielle Golan
Launching its first products in the fall of 2016 in New York, insurtech startup Lemonade was on a mission to disrupt the insurance market by using AI and behavioral economics principles. The company offered renters, homeowners, and condo insurance and mainly targeted...
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Keywords:
AI;
Business Startups;
Insurance;
Technological Innovation;
Business Model;
Disruption;
Brands and Branding;
Growth and Development Strategy;
Global Strategy;
Decision Making;
Insurance Industry;
Technology Industry
Ofek, Elie, and Danielle Golan. "Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart." Harvard Business School Case 520-020, August 2019. (Revised March 2022.)
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms...
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Keywords:
Artificial Intelligence;
Machine Learning;
Robotics;
Robots;
Ecommerce;
Fulfillment;
Warehousing;
AI;
Startup;
Technology Commercialization;
Business Startups;
Entrepreneurship;
Logistics;
Order Taking and Fulfillment;
Information Technology;
Commercialization;
Learning;
Complexity;
Competition;
E-commerce
Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
- July 2019
- Teaching Note
Miroglio Fashion
By: Sunil Gupta
Teaching Note for HBS Nos. 519-053, 519-070, and 519-072.
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- 2022
- Article
How AI Could Help Small Businesses
By: Karen G. Mills
Mills, Karen G. "How AI Could Help Small Businesses." Harvard Business Review Digital Articles (June 3, 2019).
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD...
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Keywords:
Customer Journey;
Privacy;
Consumer Behavior;
Analytics and Data Science;
AI and Machine Learning;
Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial...
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Keywords:
Crowdsourcing;
AI Algorithms;
Health Care and Treatment;
Collaborative Innovation and Invention;
AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- 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...
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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
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.