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Show Results For
- All HBS Web
(889)
- People (1)
- News (155)
- Research (565)
- Events (10)
- Multimedia (3)
- Faculty Publications (467)
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- 01 Dec 2023
- News
Thinking Ahead
Lab at the Digital Data Design Institute at Harvard; his research develops tools for machine learning that mitigate bias and enhance privacy. Generative AI poses a greater risk to privacy by its nature, Neel... View Details
- Web
HBS - The year in Review
scale capabilities in the realm of digital products, data strategy and architecture, analytics, machine learning and AI, the group will work to build platforms and deliver applications that enable innovation... View Details
- 19 Dec 2023
- Research & Ideas
15 Podcast Episodes That Grabbed Listeners in 2023
president of engineering and research at Google and the founding managing director of the Google Center in Israel, explains how Google uses AI and machine learning to tackle some of the biggest challenges... View Details
Keywords: by Danielle Kost
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- Working Paper
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which... View Details
Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." SSRN Working Paper Series, No. 4071188, November 2023.
- January 2023 (Revised June 2023)
- Case
Replika: Embodying AI
By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
Replika was a virtual AI companion that provided a way for people to process their emotions, build connections in a safe environment, and get through periods of loneliness. The chatbot fulfilled a user's need for a friend, romantic partner, or purely an emotional... View Details
Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023. (Revised June 2023.)
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
algorithm perpetuates this. Another source of bias is incomplete or unrepresentative information. A famous example is facial recognition. If I use mostly photos of white men to train the machine to learn... View Details
Keywords: by Rachel Layne
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
- 30 Apr 2013
- First Look
First Look: April 30
fail to spend sufficient time learning to understand ourselves and creating our own definition of success? The truth is, it can seem so natural and so much easier to just do what everyone else is doing-for now-leaving it for later to... View Details
Keywords: Sean Silverthorne
- 02 Jun 2022
- Research & Ideas
Blissful Thinking: When It Comes to Finding Happiness, 'Your Dreams Are Liars'
the research problem, at this point. I’m the subject and I’m the researcher. I’m like a perpetual-motion machine of happiness research.” In this conversation with the HBS Alumni Bulletin, Brooks talks about why happiness has become such a... View Details
Keywords: by Dan Morrell
- 17 Jan 2020
- In Practice
6 Traits That Set Top Business Leaders Apart
World on Fire. Image: Eoneren Related Reading When Your Passion Works Against You What Machine Learning Teaches Us about CEO Leadership Style How Scale Changes a Manager's Responsibilities Related reading... View Details
Keywords: by Danielle Kost
- 26 May 2023
- Blog Post
Bringing Space Tech Back to Earth
companies more sustainably manage their water resources. Like all her favorite projects, it has the potential to help people on Earth using technology designed for space. “I’m using my interest in space technology by assessing how satellite imagery could combine with... View Details
- 01 Jun 2024
- News
Quantum Leap
“This is the first new kind of computer in 75 years,” says John Levy (MBA 1979), CEO of the quantum computing startup SEEQC. “And we’re building it on a chip!” Strolling through his company’s design and testing facility in Elmsford, New York, Levy looks less like a... View Details
- Profile
Jean Luo
things and see how I liked entrepreneurship.” As early as November in her RC year, Jean began Outdoor Pass, an application that uses machine learning and social graphs to help users identify and participate... View Details
- 29 May 2018
- First Look
New Research and Ideas, May 29, 2018
incorporate these advancements to improve the way the functions work, how to incorporate machine learning and artificial intelligence that de facto improve productivity and slash costs, and what he could do... View Details
Keywords: Dina Gerdeman
- 05 May 2022
- HBS Case
College Degrees: The Job Requirement Companies Seek, but Don't Really Need
than 70 percent of Black, Latinx, and rural workers from landing jobs, even though they may have the actual skills to do the required work. Many companies rely on machine learning algorithms that... View Details
Keywords: by Jay Fitzgerald
- 2024
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- 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... View Details
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.