Publications

October 2018
Article

The Operational Value of Social Media Information

By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang

While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details

Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media

Find at Harvard

October 2023
Case

Fixie and Conversational AI Sidekicks

By: Jeffrey J. Bussgang and Carin-Isabel Knoop

In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT... View Details

Keywords: Large Language Model; Entrepreneurship; Decision Choices and Conditions; AI and Machine Learning; Technological Innovation; Competitive Strategy; Technology Industry; United States

April 2024
Article

A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson

Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details

Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry

29 Sep 2020

Life at HBS Chat Series: MBA Students in Tech Club and Coding, Analytics, and Machine Learning Club

Hear straight from current HBS students regarding their MBA experience. Students will share their backgrounds and how they have cultivated their personal and professional interests while at HBS. View Details

11 Feb 2019
Blog Post

John Bracaglia, MBA 2020: “I Want to Find the Machine Learning Strategy That Avoids the Pitfalls While Fulfilling the Promise.”

For John Bracaglia, his academic and professional careers have been driven by two themes: “machine learning and behavioral economics,” he says. “The two work together. View Details

Keywords: Technology; Entrepreneurship

Research Summary

Overview

Jenny is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods used to answer social and policy-relevant questions. Her recent projects have focused on developing tools that explore how LLMs are reshaping... View Details

26 Mar 2024
Research & Ideas

How Humans Outshine AI in Adapting to Change

humans. “People were solving everything faster; self-orientation doesn’t seem to exist at all for AI,” De Freitas says. How does the technology need to improve? Developers still need to figure out how and where View Details

Keywords: by Rachel Layne; Technology; Information Technology

2025
Working Paper

Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha

By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou

We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details

Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets

SSRN

24 Aug 2021
News

What We Still Need to Learn about AI in Marketing — and Beyond

February 2024
Teaching Note

Data-Driven Denim: Financial Forecasting at Levi Strauss

By: Mark Egan

Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details

Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States

Teaching Interest

Overview

I served as a Teaching Fellow for the Applied Business Analytics second-year MBA course. This course sought to teach MBA students how businesses can improve their strategic decisions using statistics and machine learning techniques. (e.g., regression models, random... View Details

Keywords: Analytics; Machine Learning; Statistics

July 2019 (Revised November 2019)
Case

Osaro: Picking the Best Path

By: William R. Kerr, James Palano and Bastiane Huang

The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details

February 2018 (Revised June 2021)
Case

New Constructs: Disrupting Fundamental Analysis with Robo-Analysts

By: Charles C.Y. Wang and Kyle Thomas

This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details

Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee

2015
Article

A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes

By: Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani and Kecia Addison

March 2025
Case

Stagwell: AI and the Future of Marketing

By: Suraj Srinivasan and Radhika Kak

In early 2025, Mark Penn, Founder, CEO and Chairman of Stagwell, a global marketing company with a network of over 70+ agencies that served over 4000 blue-chip customers across 40 countries, was looking at ways that marketers should navigate the disruption emanating... View Details

Keywords: Advertising; Innovation Strategy; Change Management; AI and Machine Learning; Digital Transformation; Technology Adoption; Marketing Strategy; Service Delivery; Creativity; Business Model; Advertising Industry; Technology Industry

Article

Towards Robust and Reliable Algorithmic Recourse

By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju

As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details

Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction

August 2024 (Revised March 2025)
Case

DBS' AI Journey

By: Feng Zhu, Harold Zhu and Adina Wong

Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details

Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore

2025
Working Paper

Global Evidence on Gender Gaps and Generative AI

By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning

Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details

Keywords: AI and Machine Learning; Gender; Equality and Inequality; Technology Adoption; Behavior