Publications

Find at Harvard

15 May 2022
News

Hitting the Books: Why We Need to Treat the Robots of Tomorrow Like Tools

23 Mar 2023
HBS Seminar

Tinglong Dai, Johns Hopkins

14 Mar 2023
Cold Call Podcast

Can AI and Machine Learning Help Park Rangers Prevent Poaching?

Keywords: Re: Brian L. Trelstad; Computer; Information Technology; Technology

10 Jan 2020
News

Competing in the Age of AI

Ayelet Israeli

Ayelet Israeli is the Marvin Bower Associate Professor of Business Administration at the Harvard Business School Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the Digital Data Design (D^3) Institute at Harvard Business School. She teaches... View Details

Keywords: retailing; e-commerce industry; internet; automotive

Iavor I. Bojinov

Iavor Bojinov is an Assistant Professor of Business Administration and the Richard Hodgson Fellow at Harvard Business School. He is the co-PI of the AI and Data Science Operations Lab and a faculty affiliate in the Department of Statistics at Harvard University and... View Details

July 2024
Article

AI, ROI, and Sales Productivity

By: Frank V. Cespedes

Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by... View Details

Keywords: ROI; AI and Machine Learning; Sales; Investment Return

October 2023 (Revised January 2025)
Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju

Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details

Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Technology Industry

The nature of work is changing. As companies grapple with forces—such as rapid technological change, shifting global product and labor markets, evolving regulatory regimes, outsourcing, and the fast emergence of the gig economy—they must overcome challenges and... View Details

May 2024
Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney

This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details

Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe

Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic

Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details

Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History

17 May 2022
News

Delivering a Personalized Shopping Experience with AI

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

2023
Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details

Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement

SSRN

March 2019 (Revised June 2021)
Case

HelloSelf: Foundation

By: John R. Wells and Benjamin Weinstock

On January 6, 2019, HelloSelf, a London-based “BrainTech” company, founded a year earlier by Charles Wells, soft launched. The proposition was simply to help its members “Be your Best Self.” The company provided its registered members with access to a clinical... View Details

September 2023 (Revised January 2024)
Case

RightHand Robotics: Choosing the First Market

By: Thomas R. Eisenmann and Stacy Straaberg

In early 2015, RightHand Robotics’s (RHR) leadership faced a set of decisions in commercializing the startup’s robotic picking solution. RHR’s central product was the RightPick integrated robotic picking system which featured a robotic arm, a three-fingered robotic... View Details

Keywords: Business Startups; Market Entry and Exit; Product; Research and Development; Business Strategy; Commercialization; Information Infrastructure; Technological Innovation; Manufacturing Industry; Technology Industry; United States; Massachusetts

January 2025
Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley and Tim Englehart

This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details

Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance

February 2024
Case

Continuity & Change at Boston Consulting Group

By: David G. Fubini, Suraj Srinivasan and David Lane

As the new CEO of Boston Consulting Group (BCG) since autumn 2021, Christoph Schweizer had big shoes to fill—his predecessor, Rich Lesser, had tripled the partnership’s total revenues and created digital initiatives that contributed 40+% of 2021 revenues, more than... View Details

Keywords: Business Organization; Change Management; Talent and Talent Management; Governance; AI and Machine Learning; Environmental Sustainability; Leading Change; Risk Management; Organizational Culture; Partners and Partnerships; Revenue; Growth and Development Strategy; Management Succession; Consulting Industry

2023
Article

M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models

By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong

While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details

Keywords: AI and Machine Learning