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  • August 2021 (Revised April 2022)
  • Case

Intenseye: Powering Workplace Health and Safety with AI

By: Michael W. Toffel and Youssef Abdel Aal
Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s... View Details
Keywords: Privacy; Product Development; Operations; Technological Innovation; Value Creation; Production; Distribution; Safety; Risk and Uncertainty; Technology Industry; Manufacturing Industry; Distribution Industry; Turkey; Middle East; United States
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  • 2023
  • Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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  • 25 May 2021
  • Research & Ideas

White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

Indeed, Zhang’s research found that prior to launching the algorithm in 2015, Airbnb’s white hosts made $12.16 more per day than Black hosts, according to the study, Can an AI View Details
Keywords: by Lane Lambert; Technology; Accommodations
  • 26 Aug 2024
  • Research & Ideas

Can AI Match Human Ingenuity in Creative Problem-Solving?

When ChatGPT and other large language models began entering the mainstream two years ago, it quickly became apparent the technology could excel at certain business functions, yet it was less clear how well artificial intelligence could handle more creative tasks. Sure,... View Details
Keywords: by Michael Blanding; Information Technology; Information; Technology
  • 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
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  • 27 Jun 2024
  • Research & Ideas

Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

engine would begin providing AI summaries of most search queries to users across the United States; Users immediately noted that the AI summaries sometimes included nonsense results. “If it’s allowing a... View Details
Keywords: by Ben Rand; Technology
  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

difference in whether you click on it. The algorithm is trained to pick out the pictures people are more likely to click on. And AI can optimize those images to individual preferences. If I like comedies,... View Details
Keywords: by Dina Gerdeman
  • 11 Oct 2024
  • Research & Ideas

How AI Could Ease the Refugee Crisis and Bring New Talent to Businesses

cultural background, to help families start new lives safely. AI significantly improves matches Algorithms seek to streamline that work. Paulson and Bansak analyzed patterns in two countries that accept... View Details
Keywords: by Ben Rand; Technology; Information Technology
  • 2024
  • Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
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  • October 2021 (Revised June 2022)
  • Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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  • 20 Nov 2019
  • Research & Ideas

It's No Joke: AI Beats Humans at Making You Laugh

computer-based recommendation technology to help consumers make decisions. Yeomans' findings shed light on the hurdles that AI technology will need to overcome to win over wary consumers. The team enlisted 75 pairs of people, including... View Details
Keywords: by Dina Gerdeman
  • 30 May 2024
  • Research & Ideas

Racial Bias Might Be Infecting Patient Portals. Can AI Help?

others—deeming some important enough for a physician’s review while routing others to nurses instead, according to the authors. The rise of Gen AI adds urgency Learning how to assess and prioritize inquiries will become more important as... View Details
Keywords: by Ben Rand; Health
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive systems, you need lots of example... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 05 Nov 2024
  • Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

to replicate the unique characteristics of a specific person’s writing style, says Prithwiraj Choudhury, the Lumry Family Associate Professor of Business Administration at Harvard Business School. “We trained an algorithm to write using... View Details
Keywords: by Ben Rand; Information Technology; Technology
  • January 2021 (Revised March 2021)
  • Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

how new products or services would perform at various prices or with different characteristics. The machine learning algorithms that might power such a device are, at least for now, incapable of producing such promising results. But what... View Details
Keywords: by Kristen Senz
  • May 2021 (Revised February 2024)
  • Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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  • 03 May 2023
  • Research & Ideas

Why Confronting Racism in AI 'Creates a Better Future for All of Us'

people in the room to guess what prompts he had provided to the AI tool DALL-E2 to create the image. People in the audience were stumped. After about 40 seconds, Turner—a visiting fellow at HBS’s Institute for the Study of Business in... View Details
Keywords: by Barbara DeLollis
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

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