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All HBS Web
(900)
- People (1)
- News (152)
- Research (546)
- Events (10)
- Multimedia (3)
- Faculty Publications (453)
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- February 6, 2024
- Article
Find the AI Approach That Fits the Problem You’re Trying to Solve
By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical...
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Keywords:
AI and Machine Learning;
Organizational Change and Adaptation;
Technological Innovation;
Analytics and Data Science
Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review (website) (February 6, 2024).
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an...
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Keywords:
Analytics and Data Science;
AI and Machine Learning;
Decision Making;
Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- September–October 2024
- Article
How AI Can Power Brand Management
By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it...
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Keywords:
Creativity;
AI and Machine Learning;
Brands and Branding;
Product Positioning;
Customer Focus and Relationships
De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
- 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...
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Keywords:
Advertising;
Strategy;
Technology Adoption;
AI and Machine Learning;
Applications and Software;
Growth and Development Strategy;
Advertising Industry;
Technology Industry;
United States
Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
- 21 Mar 2017
- First Look
First Look at New Research, March 21
activity the CEOs undertake during one workweek and (ii) a machine learning algorithm that projects these data onto scalar CEO behavior indices. Low values of the index are associated with plant visits and...
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Sean Silverthorne
- 26 Feb 2001
- Research & Ideas
David, Goliath, and Disruption
into a disruptee. Learning To Chicken-scratch If a technology is to succeed, in theory at least, it should not require people to radically change their behavior. Instead, companies that promote the technology should hope for a gradual...
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by Martha Lagace
- April 2024
- Case
Managing AI Risks in Consumer Banking
By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak
In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest...
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Keywords:
Customer Relationship Management;
AI and Machine Learning;
Risk Management;
Opportunities;
Customization and Personalization;
Banking Industry;
Europe
Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.
- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software...
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- 13 Oct 2015
- Research & Ideas
Does Business Get Done the Same Way in Emerging and Developed Countries?
huge loss of capital. And, in fact, a lot of knowledge was lost in that transition. Many people had to figure out new things, had to learn how to operate under difficult circumstances. But for Akın, who was as an outsider in the previous...
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by Sean Silverthorne
- February 2024
- Case
ReSpo.Vision: The Kickstart of an AI Sports Revolution
By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an...
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Keywords:
Business Startups;
Business Plan;
Experience and Expertise;
Talent and Talent Management;
Decisions;
Decision Choices and Conditions;
Forecasting and Prediction;
Entrepreneurship;
Venture Capital;
AI and Machine Learning;
Analytics and Data Science;
Applications and Software;
Business Strategy;
Sports Industry;
Technology Industry;
Poland;
Europe
Gompers, Paul A., Elena Corsi, and Nikolina Jonsson. "ReSpo.Vision: The Kickstart of an AI Sports Revolution." Harvard Business School Case 824-151, February 2024.
- 21 Jun 2010
- Research & Ideas
Strategy and Execution for Emerging Markets
"We've wanted to learn about the challenges of the process and the challenges of companies in those markets trying to compete on a global platform. We are also curious how international companies have been able to intimate themselves into...
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by Martha Lagace
- 04 Apr 2022
- Research & Ideas
Tech Hubs: How Software Brought Talent and Prosperity to New Cities
software patents. These classified patents were then used to train a machine learning algorithm to identify among millions of patents those that were software related. Once software and non-software patents...
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by Rachel Layne
- 26 Mar 2019
- First Look
New Research and Ideas, March 26, 2019
challenging areas. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55885 Learning or Playing? The Effect of Gamified Training on Performance By: Buell, Ryan W., Wei Cai, and Tatiana Sandino Abstract—Gamified...
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Dina Gerdeman
- 21 Nov 2017
- First Look
First Look at New Research and Ideas, November 21, 2017
propose a class of dynamic pricing algorithms that builds upon the simple yet powerful machine learning technique known as Thompson sampling to address the challenge of balancing the exploration-exploitation...
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Sean Silverthorne
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that...
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- 19 Sep 2024
- Research & Ideas
Global Talent, Local Obstacles: Why Time Zones Matter in Remote Work
asynchronous communication. The loss of real-time chatter didn’t impact the daily schedules of machine operators and other workers handling noncollaborative tasks. They used email and other asynchronous tools to keep the lines of...
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by Michael Blanding
- 08 Sep 2011
- What Do You Think?
What’s Apple’s Biggest Challenge: Replacing Steve or Wall Street?
Schultz. Wall Street demanded increasing growth, internationalization, better productivity, and new products. And Schultz's successors responded by opening up to five new stores per day; extending business to many new foreign markets; introducing a faster, higher...
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- 20 Mar 2017
- Book
Why Companies Are Placing Users at the Core of Their Innovation Strategies
on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,...
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by Dina Gerdeman
- 2024
- 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
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of...
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Keywords:
Fintech;
AI;
AI and Machine Learning;
Small Business;
Economy;
Technology Adoption;
Credit;
Financing and Loans;
Analytics and Data Science
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition New York City, NY: Palgrave Macmillan, 2024.
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in...
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Keywords:
Racial Disparity;
Paycheck Protection Program;
Measurement Error;
AI and Machine Learning;
Race;
Measurement and Metrics;
Equality and Inequality;
Prejudice and Bias;
Forecasting and Prediction;
Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.