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Show Results For
- All HBS Web
(1,023)
- People (1)
- News (187)
- Research (664)
- Events (13)
- Multimedia (3)
- Faculty Publications (545)
- 01 Apr 2001
- News
Khoo Teng Chye: Technology Turnaround in Singapore
At the PSA Corporation’s Pasir Panjang container terminal in Singapore, the cranes operate automatically: no drivers, just operators remotely controlling up to six of the lifting machines with a single joystick. Welcome to the most... View Details
- Web
Blog | Social Enterprise | Harvard Business School
Gets Back to Basics Aparna Ramanan Ketty Lie 11 Jan 2018 This year, the Social Enterprise Conference (SECON) goes back to basics. The central tension in t... Machine Learning for Social Impact Greg Lipstein... View Details
- 15 Nov 2024
- News
Driving Change
Speaking to nearly 700 alumni at the Women’s Leadership Summit last week, HBS Professor Robin Ely addressed both current and emerging challenges facing women in leadership roles, while emphasizing the critical importance of continued progress. “Today, we face a fresh... View Details
- 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
- 28 May 2019
- News
Ask the Expert: In Security
common than ever? —John Lacey (MBA 1981) YOUNG: Bulletproof security is not statistically possible, but we can minimize risk by developing layers of protection and proactive approaches that increase those layers. Adversarial machine View Details
- 24 Jun 2019
- Blog Post
Chloe Ho, MBA 2019: Data-Driven and In Demand
mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning models. Ho took this newly acquired data and analytics knowledge with her to HBS, and,... View Details
Keywords: Technology
- 24 Jul 2019
- Blog Post
Data-Driven and in Demand
mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning models. Ho took this newly acquired data and analytics knowledge with her to HBS, and,... View Details
- March 2025 (Revised April 2025)
- Case
Perplexity: Redefining Search
By: Suraj Srinivasan, Michelle Hu, Sriraghav Srinivasan and Radhika Kak
By early 2025, Perplexity had rapidly evolved from a modest startup into a popular "answer engine" valued at $9 billion. The company had boldly positioned itself as the disruptor to Google aiming to redefine search for the AI age. Through novel AI... View Details
Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Internet and the Web; Business Startups; Competitive Strategy; Technology Industry; United States
Srinivasan, Suraj, Michelle Hu, Sriraghav Srinivasan, and Radhika Kak. "Perplexity: Redefining Search." Harvard Business School Case 125-093, March 2025. (Revised April 2025.)
- 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
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
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
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
- 19 Aug 2024
- News
Quantum Leap
Subscribe on iTunes Subscribe on Spotify More Skydeck episodes Dan Morrell: Hi, this is Dan Morrell, host of Skydeck. Quantum computing has long been talked about as one of the next big things—the kind of technology, like AI, that will change everything. But to our... View Details
- 01 Feb 1998
- News
Short Takes
altruistic reasons for serving, many also reported that such participation allowed them to practice business skills and make professional contacts not always possible through their everyday duties. "One focus group of top-level managers agreed that what they View Details
Keywords: Judith A. Ross
- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
period. Stock indexes can transform longstanding behavior via nonpecuniary channels. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53030 Machine Learning and Human Capital:... View Details
Keywords: Dina Gerdeman
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
- January 2025
- Case
Hebbia: Redefining Productivity for Knowledge Workers Using AI
By: Suraj Srinivasan and Minoshka Narayan
In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details
Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Banking Industry; Financial Services Industry; Technology Industry; United States; New York (city, NY)
Srinivasan, Suraj, and Minoshka Narayan. "Hebbia: Redefining Productivity for Knowledge Workers Using AI." Harvard Business School Case 125-075, January 2025.
- Web
4.2 Student/Faculty Ventures | MBA
out the completion of the program over multiple years, and many assume a key benefit of coming to HBS is access to faculty members who will help them implement what they are learning between modules. That said, the ratio of faculty... View Details
- May 2025
- Teaching Note
The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation
By: Tsedal Neeley
Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
highlighted in Chapter 1. In this case, newly competitive technology of open platforms not only shaped individual organizations but changed the structure of the entire industry. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55092 Developing... View Details
Keywords: Dina Gerdeman
- 05 Aug 2015
- What Do You Think?
What Happened to the ‘Innovation, Disruption, Technology’ Dividend?
capitalization), one that defied the old rules for productivity, income increases, and economic growth. We are told by widely-quoted scholars such as Erik Brynholfsson and Andrew McAfee that innovation and new information technologies are creating a "second View Details