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October 20, 2021
Other Article

On the Brink of a Digital Health Care Transformation: What Germany Can Learn from the United States

By: Yoni Goldwasser, William J. Gordon, Jan B. Brönneke and Ariel D. Stern

Article

Seeker Beware: The Interpersonal Costs of Ignoring Advice

By: Hayley Blunden, Jennifer M. Logg, Alison Wood Brooks, Leslie John and Francesca Gino

Prior advice research has focused on why people rely on (or ignore) advice and its impact on judgment accuracy. We expand the consideration of advice-seeking outcomes by investigating the interpersonal consequences of advice seekers’ decisions. Across nine studies, we... View Details

Keywords: Advice; Advice Seeking; Expertise; Impression Management; Wisdom Of Crowds; Interpersonal Communication; Relationships; Behavior; Experience and Expertise; Perception; Judgments; Outcome or Result

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March 2018
Case

IBM: Watson and the Internet of Things

By: Rajiv Lal and Scott Johnson

IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market. View Details

Keywords: IBM; Internet Of Things; Watson; Artificial Intelligence; Internet and the Web; Applications and Software; Mobile and Wireless Technology; Growth and Development Strategy; Emerging Markets; AI and Machine Learning; Technology Industry

Article

Adaptive Machine Unlearning

By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites

Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details

Keywords: Machine Learning; AI and Machine Learning

03 Oct 2013
Research & Ideas

Lehman Brothers Plus Five: Have We Learned from Our Mistakes?

In September 2008, Lehman Brothers went under—the largest bankruptcy in American history. But that was just the beginning of the story. What followed was the Great Recession, a gargantuan financial crisis that affected the entire world... View Details

Keywords: Re: Multiple Faculty; Banking; Financial Services; Construction; Real Estate

26 Feb 2018
Working Paper Summaries

Different Strokes for Different Folks: Experimental Evidence on Complementarities Between Human Capital and Machine Learning

Keywords: by Prithwiraj Choudhury, Evan Starr, and Rajshree Agarwal; Information Technology

April 29, 2020
Article

The Case for AI Insurance

By: Ram Shankar Siva Kumar and Frank Nagle

When organizations place machine learning systems at the center of their businesses, they introduce the risk of failures that could lead to a data breach, brand damage, property damage, business interruption, and in some cases, bodily harm. Even when companies are... View Details

Keywords: Artificial Intelligence; Machine Learning; Internet and the Web; Safety; Insurance; AI and Machine Learning; Cybersecurity

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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 May 2020)
Case

AT&T, Retraining, and the Workforce of Tomorrow

By: William R. Kerr, Joseph B. Fuller and Carl Kreitzberg

By the late 2000s, rapid changes in the telecommunications industry forced AT&T’s management team to take on a task that CEO Randall Stephenson called the “biggest logistical challenge” they had ever seen: retraining 100,000 workers by 2020. In 2012, internal company... View Details

2024
Working Paper

Sharing Models to Interpret Data

By: Joshua Schwartzstein and Adi Sunderam

To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details

Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes

2025
Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

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February 2009 (Revised September 2009)
Case

Investing in Early Learning as Economic Development at the Minneapolis Federal Reserve Bank

By: Stacey M. Childress and Geoff Eckman Marietta

In his role as Senior Vice President and Director of Research at the Federal Reserve Bank of Minneapolis (Minneapolis Fed), Art Rolnick and his colleague, Rob Grunewald, had written "Early Childhood Development: Economic Development with a High Public Return." The... View Details

Keywords: Development Economics; Early Childhood Education; Investment Return; Demand and Consumers; Supply and Industry; Performance Effectiveness; Nonprofit Organizations; Minneapolis; Saint Paul

October 2023 (Revised January 2024)
Case

McDonald's Board of Directors (A)

By: Lynn S. Paine and Will Hurwitz

In October 2019, the McDonald’s Corporation board of directors, chaired by Enrique Hernandez, Jr., gathered to learn the results of their outside counsel’s investigation into the conduct of the CEO. On the surface, the iconic fast-food chain was thriving as growing... View Details

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

December 13, 2022
Article

What Elon Musk Can Learn from Steve Jobs’s Return to Apple

By: Andy Wu and Goran Calic

Changing the strategic direction of an existing company is among the hardest management challenges out there. Most attempts fail. In trying to remake Twitter, Elon Musk has a daunting task ahead of him. There’s precedent, however, for dramatically reimagining a major... View Details

Keywords: Business or Company Management; Corporate Strategy; Change Management; Transformation

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December 2007
Article

Learning to Live with Governments: Unilever in India and Turkey, 1950-1980

A noteworthy characteristic of the contemporary global economy is the uneven distribution of world foreign direct investment (FDI). In 2007 three-quarters of world FDI was located in developed countries. The residual was concentrated in a small number of emerging... View Details

Keywords: Developing Countries and Economies; Ethics; Foreign Direct Investment; Governing Rules, Regulations, and Reforms; Business and Community Relations; Business and Government Relations; Consumer Products Industry; India; Turkey

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January 2024 (Revised February 2024)
Case

Data-Driven Denim: Financial Forecasting at Levi Strauss

The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details

Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States

March 1993
Background Note

Stages Theory, The: A Framework for IT Adoption and Organizational Learning

By: Richard L. Nolan, David Croson and Katherine Seger

Describes Professor Richard Nolan's Stages Theory of Information Technology adoption by organizations. View Details

Keywords: Information; Body of Literature; Information Management; Information Publishing; Adoption; Organizational Structure; Organizational Design; Decision Making; Information Technology Industry

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November 2024
Supplement

AlphaGo (C): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai

This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details

Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States

2014
Working Paper

Learning from the Kursk Submarine Rescue Failure: the Case for Pluralistic Risk Management

By: Anette Mikes and Amram Migdal

The Kursk, a Russian nuclear-powered submarine, sank in the relatively shallow waters of the Barents Sea in August 2000 during a naval exercise. Numerous survivors were reported to be awaiting rescue, and within a week, an international rescue party gathered at... View Details

Keywords: Risk Management; Groups and Teams; Crisis Management

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