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All HBS Web
(700)
- News (175)
- Research (303)
- Events (5)
- Multimedia (5)
- Faculty Publications (232)
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- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
the assistance of ChatGPT) Throughout 2023, we dedicated considerable effort to assessing whether the recent strides in generative AI were mere fads or indicative of a transformative future. This period was marked View Details
- Summer 2013
- Book Review
Review of "Creating Consumers: Home Economists in Twentieth-Century America" by Carolyn M. Goldstein
By: Ai Hisano
Hisano, Ai. Review of "Creating Consumers: Home Economists in Twentieth-Century America" by Carolyn M. Goldstein. Business History Review 87, no. 2 (Summer 2013): 381–384.
- 2022
- Working Paper
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...
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- Forthcoming
- 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
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)
- 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...
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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
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
I think by their actions, we can get some hints about the direction we're going to go. The generative AI companies out there are actually pricing on a usage model, which says to me that they don't think they...
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- 15 Aug 2023
- HBS Case
(Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?
The recent rollout of ChatGPT by OpenAI has set the world abuzz about the potential of artificial intelligence. But whatever happened to the last tech phenomenon, the “metaverse”? The once-heavily hyped future of immersive 3D technology...
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- 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
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- Winter 2013
- Book Review
Review of "Cold War Kitchen: Americanization, Technology, and European Users," edited by Ruth Oldenziel and Karin Zachmann
By: Ai Hisano
Hisano, Ai. Review of "Cold War Kitchen: Americanization, Technology, and European Users," edited by Ruth Oldenziel and Karin Zachmann. Journal of Cold War Studies 15, no. 1 (Winter 2013): 166–168.
- 02 May 2023
- What Do You Think?
How Should Artificial Intelligence Be Regulated—if at All?
humanity. Clearly, AI is a big deal with large potential benefits and, at the moment, largely unknown risks for society. It will get more important fast. Why? Two tech giants, Microsoft and Google, are competing for first-mover advantage...
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- February 2022 (Revised February 2023)
- Case
TikTok in 2020: Super App or Supernova? (Abridged)
By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea—helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors...
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Keywords:
Digital Platform;
Artificial Intelligence;
AI;
Mobile App;
Mobile App Industry;
Mobile and Wireless Technology;
Market Entry and Exit;
Brands and Branding;
Growth and Development Strategy;
China
Rayport, Jeffrey F., Dan Maher, and Dan O'Brien. "TikTok in 2020: Super App or Supernova? (Abridged)." Harvard Business School Case 822-112, February 2022. (Revised February 2023.)
- 10 Sep 2024
- Research & Ideas
What Happens When Business Owners Turn to ChatBots for Advice
Marketing: How Some 'Gibberish' Code Can Give Products an Edge Can AI Save Physicians from Burnout? Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image by HBSWK with assets...
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Keywords:
by Ben Rand
- 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...
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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
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- February 2022 (Revised November 2022)
- Case
Nuritas
By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company...
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Keywords:
Cash Burn;
Cash Flow Analysis;
Pharmaceutical Companies;
Founder;
Artificial Intelligence;
AI;
Entrepreneurship;
Health Testing and Trials;
Health Care and Treatment;
Decision Making;
Market Entry and Exit;
AI and Machine Learning;
Pharmaceutical Industry
Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
- 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
- 03 Apr 2019
- Book
Fintech's Game-Changing Opportunities for Small Business
makers or B2B service businesses, which is a growing segment. “Decisions we make over the next several years will influence large parts of our financial services systems.” Only a relatively tiny number of US small businesses are the high-growth ones funded View Details
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government...
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Keywords:
Economics Of AI;
Value Of Data;
Perishability;
Time Dependency;
Flow Of Data;
Data Strategy;
Analytics and Data Science;
Value;
Strategy;
Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- 30 Jan 2024
- Research & Ideas
‘Intrinsic Joy’ Sparks Ideas Better than Cash
People use crowdsourcing to solve problems, raise money, and share AI breakthroughs, the authors write. Open source software—such as the popular content management system WordPress or the operating system Linux—gives users free access to...
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- 09 May 2024
- Research & Ideas
Called Back to the Office? How You Benefit from Ideas You Didn't Know You Were Missing
classrooms, labs, dining halls, and elsewhere on campuses have a unique influence on the course of scientific research, according to the study, coauthored by Eamon Duede, a postdoctoral fellow at the Digital Data Design Institute at...
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Keywords:
by Ben Rand
- 15 May 2024
- Research & Ideas
A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better
AI in Adapting to Change Can Autonomous Vehicles Drive with Common Sense? Can we automate our way to better decision making? Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image: Illustration created View Details