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  • 03 Jan 2017
  • First Look

January 3, 2017

powerful machine learning technique known as Thompson sampling to address the challenge of balancing the exploration-exploitation tradeoff under the presence of inventory constraints. Our algorithms prove to... View Details
Keywords: Carmen Nobel
  • January 2025
  • Case

Summer Health: Raising an AI-First Company?

By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell
In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details
Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Business Startups; Health Care and Treatment; Business Strategy; Health Industry; Telecommunications Industry; United States
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Bussgang, Jeffrey J., Sarah Mehta, and Maxim Pike Harrell. "Summer Health: Raising an AI-First Company?" Harvard Business School Case 825-083, January 2025.
  • 23 Jul 2001
  • Research & Ideas

How the Giants of Enterprise Seized the Future

"feeling tone" he engendered around himself. He truly—passionately—believed you could learn from anybody. Because ordinary people knew that, they taught him all they could. Humility was a trait which no one ever accused Charles... View Details
Keywords: by Richard S. Tedlow
  • 11 Oct 2016
  • First Look

October 11, 2016

Paris,” among other awards, for its innovation and performance. Purchase this case: https://cb.hbsp.harvard.edu/cbmp/product/617007-PDF-ENG Harvard Business School Case 516-046 Spotify In November 2014, Spotify's chief content officer Ken Parks View Details
Keywords: Sean Silverthorne
  • 20 Aug 2013
  • First Look

First Look: August 20

Buildings By: Herron, J., Amy C. Edmondson, and Robert G. Eccles, Jr. Abstract—Buildings are the nation's greatest energy consumers. Forty percent of all our energy is used for heating, cooling, lighting, and powering machines and devices... View Details
Keywords: Anna Secino
  • 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... View Details
Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe
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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 (Revised June 2024)
  • Case

Governing OpenAI (A)

By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details
Keywords: Artificial Intelligence; Board Of Directors; Board Decisions; Board Dynamics; Corporate Boards; Governance Changes; Governance Structure; Leadership Change; Legal Aspects Of Business; Nonprofit Governance; Strategy And Execution; Technological Change; AI and Machine Learning; Corporate Governance; Leadership; Management; Mission and Purpose; Technological Innovation; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Resignation and Termination; Ethics; Nonprofit Organizations; Open Source Distribution; Partners and Partnerships; Technology Industry; San Francisco; United States
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Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised June 2024.)
  • 21 Aug 2018
  • First Look

New Research and Ideas, August 21, 2018

We implement a variety of machine learning methods to forecast daily sales. We find that using social media information results in statistically significant improvements in the out-of-sample accuracy of the... View Details
Keywords: Dina Gerdeman
  • 26 Feb 2019
  • First Look

New Research and Ideas, February 26, 2019

https://www.hbs.edu/faculty/Pages/item.aspx?num=55668 2019 Proceedings of the Hawaii International Conference on System Sciences Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise... View Details
Keywords: Dina Gerdeman
  • 18 Feb 2009
  • First Look

First Look: February 18, 2009

process, she brought her boyfriend and his sister into the business to help her, and ended up learning important lessons about mixing family and business. Now looking to raise venture capital, Thiers has just received an email from a... View Details
Keywords: Martha Lagace
  • 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... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
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Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
  • 03 Apr 2019
  • Book

Fintech's Game-Changing Opportunities for Small Business

removal business, you’re on your own. This must change. A more complicated set of regulatory issues is looming around big data and artificial intelligence. My book focuses attention and predictions on what the world will look like as big data, AI, and View Details
Keywords: by Martha Lagace; Banking; Financial Services
  • 15 Jan 2018
  • Research & Ideas

A Better Business Model for Fighting Cancer

providing incentives and protecting proprietary information as needed—then leveraging the latest in artificial intelligence and machine learning through entities such as GNS Healthcare and IBM’s Watson to... View Details
Keywords: by Julia Hanna; Health; Pharmaceutical
  • 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... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
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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, 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... View Details
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
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Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
  • 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... View Details
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
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Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
  • April 2024 (Revised November 2024)
  • Case

Moderna: Pioneering a People Platform to Accelerate Science Innovation

By: Tatiana Sandino, Emil Dy and Samuel Grad
Moderna was founded in 2010 to explore how messenger ribonucleic acid (mRNA) could be used to create breakthrough medicines by encoding instructions for the body to create antibodies. When Stéphane Bancel (HBS 2000) took over in 2011, he bet on the potential of this... View Details
Keywords: Disruptive Innovation; Talent and Talent Management; Selection and Staffing; AI and Machine Learning; Digital Strategy; Innovation and Management; Leadership Development; Management Practices and Processes; Management Systems; Organizational Culture; Performance Evaluation; Alignment; Employee Relationship Management; Science-Based Business; Expansion; Pharmaceutical Industry; Biotechnology Industry; United States
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Sandino, Tatiana, Emil Dy, and Samuel Grad. "Moderna: Pioneering a People Platform to Accelerate Science Innovation." Harvard Business School Case 124-091, April 2024. (Revised November 2024.)
  • 10 May 2017
  • Research & Ideas

Amazon Web Services Changed the Way VCs Fund Startups

prove their worth quickly, VCs may be underfunding other more complex types of startups that require more time to bear fruit. “One of the challenges with this approach is it really directs attention of investors to projects where you can View Details
Keywords: by Michael Blanding; Banking; Financial Services; Information Technology
  • 25 May 2016
  • Research & Ideas

How Consumers and Businesses are Reshaping Public Health

and nutrition and readiness to learn in schools is also well established. Forthcoming revisions to the Millennium Development Goals are expected to again highlight the importance of disease prevention and health care to the global... View Details
Keywords: by John A. Quelch; Health
  • 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,... View Details
Keywords: by Dina Gerdeman
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