AI and Machine Learning - Publications - Faculty & Research - Harvard Business School

Filter Results: (1,220)

Filter Results: (1,220)

Show Results For

← Page 4 of 1,220 Results →

Working Paper

Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

By: Flora Feng, Charis Li and Shunyuan Zhang

Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details

Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing

December 2023 (Revised November 2024)
Case

Generative AI and the Future of Work

By: Christopher Stanton, Matt Higgins, Shira Aronson and Meg Shriber

Generative AI seemed poised to reshape the world of work, including the higher-wage, white-collar jobs typically pursued by MBA graduates. Informed by the latest research, this case explores generative AI's potential impacts on work, productivity, value creation, and... View Details

Keywords: AI; Future Of Work; Labor Market; AI and Machine Learning; Labor; Value Creation; Performance Productivity; Technology Industry; United States

Article

Productivity and Selection of Human Capital with Machine Learning

By: Aaron Chalfin, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig and Sendhil Mullainathan

Keywords: Analytics and Data Science; Selection and Staffing; Performance Productivity; Mathematical Methods; Policy

Find at Harvard

February 2022 (Revised September 2022)
Case

InstaDeep: AI Innovation Born in Africa (A)

By: Shikhar Ghosh and Esel Çekin

Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details

Keywords: AI; Artificial Intelligence; Entrepreneurship; Operations; Business Subsidiaries; Brands and Branding; Innovation and Invention; Growth and Development Strategy; AI and Machine Learning; Technology Industry; Africa

2021
Working Paper

Time and the Value of Data

By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value

2018
Working Paper

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck

Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details

Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets

2025
Working Paper

Generative AI and the Nature of Work

By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu

Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details

Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor

2022
Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh

Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details

Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning

February 2018 (Revised March 2018)
Case

Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)

By: Lauren Cohen, Christopher Malloy and William Powley

This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services... View Details

Keywords: Technological Innovation; Finance; Growth and Development Strategy; Business Model; Applications and Software; Infrastructure; Technology Industry; Financial Services Industry

February 2022 (Revised July 2022)
Supplement

InstaDeep: AI Innovation Born in Africa (B)

By: Shikhar Ghosh and Esel Çekin

Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details

Keywords: AI; Artificial Intelligence; Entrepreneurship; Operations; Business Subsidiaries; Brands and Branding; Innovation and Invention; Growth and Development Strategy; AI and Machine Learning; Technology Industry; Africa

March–April 2025
Article

Strategy in an Era of Abundant Expertise: How to Thrive When AI Makes Knowledge and Know-How Cheaper and Easier to Access

By: Bobby Yerramilli-Rao, John Corwin, Yang Li and Karim R. Lakhani

The AI era is in its early stages, and the technology is evolving extremely quickly. Providers are rapidly introducing AI "copilots," "bots," and "assistants" into applications to augment employees' workflows. Examples include GitHub Copilot for coding, ServiceNow... View Details

Keywords: AI; AI and Machine Learning; Performance Productivity; Experience and Expertise; Technology Adoption

2021
Working Paper

CRM and AI in Time of Crisis

By: Michelle Y. Lu and Navid Mojir

A crisis can affect the incentives of various players within a firm’s multi-layered sales and marketing organization (e.g., headquarters and branches of a bank). Such shifts can result in sales decisions against the firm’s best interests. Motivated by the backlash to... View Details

Keywords: CRM; Artificial Intelligence; AI; B2B Marketing; Decision Authority; Crisis Marketing; Intra-organizational Conflict; COVID-19 Pandemic; Customer Relationship Management; Technological Innovation; Decision Making; Strategy; Health Pandemics; Crisis Management; AI and Machine Learning

September–October 2024
Article

The Crowdless Future? Generative AI and Creative Problem-Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani

The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details

Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation

2025
Book

The Experimentation Machine: Finding Product–Market Fit in the Age of AI

By: Jeffrey J. Bussgang

Leverage AI to be a 10x Founder

Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details

Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit

October 2018
Case

Shield AI

By: Mitchell Weiss and A.J. Steinlage

Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details

2025
Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni

AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

June 2025
Case

Scale AI Scales Up

By: Boris Groysberg and Sarah L. Abbott

Scale AI, the data labeling and AI infrastructure company, had grown rapidly since it was founded in 2016; however, as Scale’s generative AI business was taking off, Alexandr Wang, Scale’s founder and CEO, became concerned that Scale was slowing down. Wang and the... View Details

Keywords: Artificial Intelligence; Technology And Innovation Management; Start-ups; Entrepreneur; Managing Growth; Hiring; Generative Ai; Data Labeling; Scale; AI and Machine Learning; Entrepreneurship; Talent and Talent Management; Growth Management; Leadership; Culture; Technology Industry; United States

May 2022 (Revised July 2022)
Supplement

AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services

By: Karim R. Lakhani, Shane Greenstein and Kerry Herman

May 2022
Supplement

AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services

By: Karim R. Lakhani, Shane Greenstein and Kerry Herman

21 Aug 2019
Research & Ideas

What Machine Learning Teaches Us about CEO Leadership Style

CEOs are communicators. Studies show that CEOs spend 85 percent of their time in communication-related activities, including speeches, meetings, and phone calls with people both inside and outside the firm.... View Details

Keywords: by Michael Blanding

←
4
5
…
60
61
→