Filter Results
:
(675)
Show Results For
-
All HBS Web
(675)
- News (190)
- Research (370)
- Events (6)
- Multimedia (9)
- Faculty Publications (249)
Show Results For
-
All HBS Web
(675)
- News (190)
- Research (370)
- Events (6)
- Multimedia (9)
- Faculty Publications (249)
- January 2017 (Revised March 2017)
- Case
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and...
View Details
Keywords:
Digital;
Technological Change;
Artificial Intelligence;
Data;
IBM;
Watson;
Internet Of Things;
Innovation and Invention;
Management;
Sales;
Information Technology;
Technological Innovation;
Transformation;
AI and Machine Learning
Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Case 317-046, January 2017. (Revised March 2017.)
- March 2024 (Revised June 2024)
- Case
Governing OpenAI (A)
By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic...
View Details
Keywords:
Artificial Intelligence;
Board Of Directors;
Board Decisions;
Board Dynamics;
Corporate Boards;
Governance Changes;
Governance Structure;
Leadership Change;
Legal Aspects Of Business;
Nonprofit Governance;
Strategy And Execution;
Technological Change;
AI and Machine Learning;
Corporate Governance;
Leadership;
Management;
Mission and Purpose;
Technological Innovation;
Governing Rules, Regulations, and Reforms;
Governing and Advisory Boards;
Resignation and Termination;
Ethics;
Nonprofit Organizations;
Open Source Distribution;
Partners and Partnerships;
Technology Industry;
San Francisco;
United States
Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised June 2024.)
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can...
View Details
- December 2018
- Case
Choosy
By: Jeffrey J. Bussgang and Julia Kelley
Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages....
View Details
Keywords:
Artificial Intelligence;
Algorithms;
Machine Learning;
Neural Networks;
Instagram;
Influencer;
Fast Fashion;
Design;
Customer Satisfaction;
Customer Focus and Relationships;
Decision Making;
Cost vs Benefits;
Innovation and Invention;
Brands and Branding;
Product Positioning;
Demand and Consumers;
Supply Chain;
Production;
Logistics;
Business Model;
Expansion;
Internet and the Web;
Mobile and Wireless Technology;
Digital Platforms;
Social Media;
Technology Industry;
Fashion Industry;
North and Central America;
United States;
New York (state, US);
New York (city, NY)
- 2019
- Working Paper
Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving
By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s...
View Details
- 17 Jul 2018
- First Look
New Research and Ideas, July 17, 2018
the partner type and private consumption. We estimate our model using the 2013 "Living Costs and Food Survey" database. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=54695...
View Details
Keywords:
Dina Gerdeman
- June 2017
- Teaching Note
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty...
View Details
- 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.
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...
View Details
Keywords:
Carbon Emissions;
Climate Change;
Environment;
Carbon Accounting;
Machine Learning;
Artificial Intelligence;
Digital;
Data Science;
Environmental Sustainability;
Environmental Management;
Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- 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.)
- 2019
- 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
Fintech, Small Business & the American Dream describes the needs of small businesses for capital and demonstrates how technology—novel data sources, artificial intelligence, machine learning—will transform the small business lending market. This market has been...
View Details
Keywords:
Fintech;
Big Data;
Data;
Technology;
Artificial Intelligence;
Great Recession;
Regulation;
Innovation;
Banks;
Lending;
Loans;
Access To Capital;
American Dream;
Community Banking;
Small Business Administration;
Entrepreneur;
Government;
Public Policy;
API;
Policy Making;
Small Business;
Financing and Loans;
Technological Innovation;
Financial Crisis;
Banks and Banking;
Governing Rules, Regulations, and Reforms;
Policy;
AI and Machine Learning;
Analytics and Data Science;
United States
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. Palgrave Macmillan, 2019.
- 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 View Details
Keywords:
by Sean Silverthorne
- 14 May 2019
- Research & Ideas
Ethics Bots and Other Ways to Move Your Code of Business Conduct Beyond Puffery
When health insurer Cigna Corp. appeared in front of a judge for allegedly misleading shareholders on Medicare regulations this spring, plaintiffs thought they had a strong case. After all, Cigna had published its own document titled “Code of Ethics View Details
Keywords:
by Michael Blanding
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data...
View Details
- 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...
View Details
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
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
View Details
Keywords:
Business and Government Relations;
Emerging Markets;
Technology Adoption;
Strategy;
Management;
Ethics;
Social Enterprise;
AI and Machine Learning;
Analytics and Data Science;
Natural Environment;
Technology Industry;
Cambodia;
United States;
Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- October 2019
- Case
Leading Bank Leumi into the Future
By: Joshua D. Margolis, Allison M. Ciechanover, Nicole Keller and Danielle Golan
An unlikely but highly effective leader of a traditional bank, Rakefet Russak-Aminoach, simultaneously leads a classic change effort and an unconventional effort to innovate. She focuses her initial energy on making the bank more efficient in the face of industry...
View Details
Keywords:
Mobile Banking;
Digital Banking;
Fintech;
Startup;
Financial Services;
Artificial Intelligence;
Innovation;
Efficiency;
Organizational Change;
Personal Development;
Female Ceo;
Banks and Banking;
Mobile and Wireless Technology;
Leadership;
Organizational Change and Adaptation;
Innovation and Invention;
Disruption;
Information Technology;
Opportunities;
Performance Effectiveness;
Personal Development and Career;
AI and Machine Learning;
Financial Services Industry;
Banking Industry;
Israel
Margolis, Joshua D., Allison M. Ciechanover, Nicole Keller, and Danielle Golan. "Leading Bank Leumi into the Future." Harvard Business School Case 420-063, October 2019.
- July 2024
- Article
AI, ROI, and Sales Productivity
Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by...
View Details
Cespedes, Frank V. "AI, ROI, and Sales Productivity." Top Sales Magazine (July 2024), 12–13.