Filter Results
:
(1,054)
Show Results For
-
All HBS Web
(1,054)
- News (385)
- Research (406)
- Events (8)
- Multimedia (48)
- Faculty Publications (368)
Show Results For
-
All HBS Web
(1,054)
- News (385)
- Research (406)
- Events (8)
- Multimedia (48)
- Faculty Publications (368)
- 15 Nov 2018
- News
Don’t Be Afraid of AI
the founding CEO of Palm and the cofounder of Handspring, ushering in two of the tech ages biggest leaps—handheld computing, and the smart phone. So, she's essentially been famously successful by being right about the future. We sat down with Dubinsky to talk about...
View Details
- 2 Mar 2023 - 4 Mar 2023
- Conference Presentation
Stigma Against AI Companion Applications
By: Julian De Freitas, A. Ragnhildstveit, K. Uguralp and Z. Oguz
De Freitas, Julian, A. Ragnhildstveit, K. Uguralp, and Z. Oguz. "Stigma Against AI Companion Applications." Paper presented at the Society for Consumer Psychology Annual Conference, San Juan, PR, March 2–4, 2023.
- May 2022 (Revised July 2023)
- Case
Altibbi: Revolutionizing Telehealth Using AI
Lakkaraju, Himabindu. "Altibbi: Revolutionizing Telehealth Using AI." Harvard Business School Case 622-088, May 2022. (Revised July 2023.)
- September–October 2023
- Article
Reskilling in the Age of AI
In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and...
View Details
Keywords:
Competency and Skills;
AI and Machine Learning;
Training;
Adaptation;
Employees;
Digital Transformation
Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Reskilling in the Age of AI." Harvard Business Review 101, no. 5 (September–October 2023): 56–65.
Why You Aren’t Getting More from Your Marketing AI - HBR
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the... View Details
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...
View Details
Keywords:
Forecasting and Prediction;
AI and Machine Learning;
Consumer Behavior;
Technology Adoption;
Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 26 Feb 2019
- Podcast
AI and the value of expertise
AI has been predicted to replace humans in professions ranging from customer service representatives to medical doctors. But many have pointed out elements of human work that would be difficult to imagine being performed by AI. HBS Professor Raj Choudhury discusses his...
View Details
- 07 Mar 2023
- HBS Case
ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?
ChatGPT, the remarkable AI chatbot garnering attention worldwide. The rollout comes amid mounting concerns that AI could perpetuate cultural, racial, and gender biases, sparking intense debate over the...
View Details
- May 2022
- Supplement
Borusan CAT: Monetizing Prediction in the Age of AI (B)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool....
View Details
Keywords:
AI and Machine Learning;
Commercialization;
Technology Adoption;
Industrial Products Industry;
Turkey;
Middle East
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
- Web
Ai Weiwei Strength 2019 | About
Skip to Main Content Ai Weiwei Strength , 2019 Ai Weiwei (Chinese, born 1957), Strength, 2019, cast iron, 70 1/2 x 76 3/8 x 88 5/8 inches. Courtesy of the Artist, Lisson Gallery, and neugerriemschneider....
View Details
- December 2023
- Case
Monsters in the Machine? Tackling the Challenge of Responsible AI
By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across...
View Details
Keywords:
Technological Innovation;
AI and Machine Learning;
Ethics;
Governing Rules, Regulations, and Reforms;
Technology Adoption;
Corporate Social Responsibility and Impact;
Technology Industry;
United States;
European Union;
China
Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023.
- August 2023
- Case
The Ethical Tightrope: When to Disclose the AI Shortcut
By: David G. Fubini, William Fubini and Patrick Sanguineti
In this short vignette on ethics in consulting, John Child, a new Associate at a prestigious firm who is eager to impress, decides to use an AI tool to expedite his analysis and craft his presentation due to a short project timeframe. Feeling uneasy about his decision...
View Details
- 15 Mar 2023
- Podcast
Google’s AI Approach to Climate Change
In this second episode in our series on climate change and AI, Yossi Matias, Vice President, Engineering & Research at Google, and the founding Managing Director of Google Center in Israel, explains how Google uses AI and Machine Learning to tackle some of the biggest...
View Details
- June 2016 (Revised August 2019)
- Case
Numenta: Inventing and (or) Commercializing AI
By: David B. Yoffie, Liz Kind and David Ben Shimol
In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was...
View Details
Keywords:
Artificial Intelligence;
Machine Intelligence;
Machine Learning;
Strategy;
Business Model;
Entrepreneurship;
Information;
Technological Innovation;
Research;
Research and Development;
Information Technology;
Applications and Software;
Technology Adoption;
Digital Platforms;
Commercialization;
AI and Machine Learning
Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)
- 24 Sep 2021
- News
AI Use in Hiring Means Women with Employment Gaps Get Overlooked
- 25 Apr 2022
- Video
Winning the War of the Future: Cyber, Disinformation, and AI
- 11 Dec 2023
- News