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Show Results For
- All HBS Web
(658)
- News (183)
- Research (375)
- Events (6)
- Multimedia (13)
- Faculty Publications (278)
- 14 Mar 2019
- News
You Might Be a Robot. This Is Not a Joke.
- 13 Aug 2024
- Op-Ed
Can AI Save Physicians from Burnout?
artificial intelligence (AI) as a potential solution to physician overwork and burnout.” Studies have shown that medical scribes are efficient substitutes for relieving administrative burdens and increasing... View Details
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
- 03 Oct 2017
- First Look
First Look at Research and Ideas, October 3, 2017
whether EforAll has the capacity to expand, and if so, which new city it should expand to first. Purchase this case: https://cb.hbsp.harvard.edu/cbmp/product/818007-PDF-ENG Harvard Business School Case 418-020 GROW: Using Artificial View Details
Keywords: by Sean Silverthorne
- Video
Nicolás Jodal
Nicolás Jodal, Co-Founder and CEO of GeneXus, shares his reaction to recent advancements in Artificial Intelligence with Large Language Models (LLMs), comparing their emergence to the industrial revolution and underscoring the need for swift adaptation to the... View Details
- February 2024
- Case
SundaySky: Changing Customer Experiences through Personalized Video
By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details
Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States
Edelman, David C., and James Barnett. "SundaySky: Changing Customer Experiences through Personalized Video." Harvard Business School Case 524-013, February 2024.
- November 2023
- Case
Copilot(s): Generative AI at Microsoft and GitHub
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California
Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
- 21 Jun 2018
- Video
KPMA HBX Live Cracking the Data Aggregation Problem - Gabriel Eichler
- 08 Nov 2023
- Blog Post
Zone Defense: These self-driving, AI-powered drones do recon so soldiers don’t have to
deployed, couldn’t understand why the military would design a high-tech armored suit for a person when artificial intelligence could do the job with significantly less risk. “Why wouldn’t they just put in a... View Details
- 12 PM – 1:15 PM EST, 08 Nov 2021
- Virtual Programming
Building Your Scaled Digital Organization
During this program led by HBS professor Karim R. Lakhani, learn how you can translate your HBS skill set to build or scale your organization using digitization, analytics, and artificial intelligence (AI) from a panel of HBS alumni who will share their extensive... View Details
- 11 Nov 2021
- Blog Post
ZONE DEFENSE: These self-driving, AI-powered drones do recon so soldiers don’t have to
design a high-tech armored suit for a person when artificial intelligence could do the job with significantly less risk. “Why wouldn’t they just put in a computer to control the suit?” he wondered. “‘Good... View Details
- October 2023 (Revised June 2024)
- Case
ReUp Education: Can AI Help Learners Return to College?
By: Kris Ferreira, Christopher Thomas Ryan and Sarah Mehta
Founded in 2015, ReUp Education helps “stopped out students”—learners who have stopped making progress towards graduation—achieve their college completion goals. The company relies on a team of success coaches to engage with learners and help them reenroll. In 2019,... View Details
Keywords: AI; Algorithms; Machine Learning; Edtech; Education Technology; Analysis; Higher Education; AI and Machine Learning; Customization and Personalization; Failure; Education Industry; Technology Industry; United States
Ferreira, Kris, Christopher Thomas Ryan, and Sarah Mehta. "ReUp Education: Can AI Help Learners Return to College?" Harvard Business School Case 624-007, October 2023. (Revised June 2024.)
- October 31, 2022
- Article
Achieving Individual—and Organizational—Value with AI
By: Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh and Michael Chu
New research shows that employees derive individual value from AI when using the technology improves their sense of competency, autonomy, and relatedness. Likewise, organizations are far more likely to obtain value from AI when their workers do. This report offers key... View Details
Ransbotham, Sam, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu. "Achieving Individual—and Organizational—Value with AI." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 31, 2022). (Findings from the 2022 Artificial Intelligence and Business Strategy Global Executive Study and Research Project.)
- 20 Sep 2014
- News
Making Big Data Think Bigger
- 07 Mar 2018
- News
Inside the Chinese lab that plans to rewire the world with AI
- 14 Jan 2020
- Video
Meet Enrique | CORe Participant Testimonial
Achieving Individual — and Organizational — Value With AI
New research shows that employees derive individual value from AI when using the technology improves their sense of competency, autonomy, and relatedness. Likewise, organizations are far more likely to obtain value from AI when their workers do. This report... View Details
- 8:30 AM – 6:45 PM EDT, 15 Sep 2020
- Virtual Programming
Competing in the Age of AI and Digital Transformation
How are companies today using artificial intelligence (AI) to respond to business challenges? During this session, professors Karim Lakhani and Macro Iansiti, coauthors of the book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the... View Details
- August 2005 (Revised September 2006)
- Case
Polyphonic HMI: Mixing Music and Math
By: Anita Elberse, Jehoshua Eliashberg and Julian Villanueva
In 2003, Mike McCready, CEO of Barcelona-based Polyphonic HMI, was preparing to launch an artificial intelligence tool that could create significant value for music businesses. The technology, referred to as Hit Song Science (HSS), analyzed the mathematical... View Details
Keywords: Forecasting and Prediction; Music Entertainment; Business History; Leadership; Marketing Strategy; Strategic Planning; Problems and Challenges; Mathematical Methods; Entertainment and Recreation Industry
Elberse, Anita, Jehoshua Eliashberg, and Julian Villanueva. "Polyphonic HMI: Mixing Music and Math." Harvard Business School Case 506-009, August 2005. (Revised September 2006.) (Spanish version also available.)