Filter Results:
(1,432)
Show Results For
- All HBS Web
(1,432)
- People (1)
- News (271)
- Research (903)
- Events (17)
- Multimedia (6)
- Faculty Publications (724)
Show Results For
- All HBS Web
(1,432)
- People (1)
- News (271)
- Research (903)
- Events (17)
- Multimedia (6)
- Faculty Publications (724)
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. 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; 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 (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- Research Summary
Technology and Knowledge Transfer in the Evolution of China’s Machine Industry
This work-in-progress provides a historical perspective on the role of foreign companies as providers of machinery equipment and facilitators of technology transfer in China from the last decade of the 19th century to the early 1950s. The project focuses on... View Details
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
- February 1987 (Revised July 1988)
- Background Note
Machine Tool Industry and Industrial Policy--1955-82
By: George C. Lodge and David J. Collis
Lodge, George C., and David J. Collis. "Machine Tool Industry and Industrial Policy--1955-82." Harvard Business School Background Note 387-145, February 1987. (Revised July 1988.)
- August 2024
- Background Note
Mitigating Climate Change with Machine Learning
By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
The Experimentation Machine
Leverage AI to be a 10x Founder
Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals... View Details
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- December 2010 (Revised March 2015)
- Case
The Wright Brothers and Their Flying Machines
By: Tom Nicholas and David Chen
Wilbur (1867-1912) and Orville (1871-1948) Wright were fascinated by the mystery of flight and they built on the ideas of prominent earlier figures such as Octave Chanute (1832-1910) the French-born American who was influential in fostering the free exchange of ideas... View Details
Keywords: Entrepreneurship; Business History; Technological Innovation; Patents; Knowledge Sharing; Air Transportation; Air Transportation Industry; Europe; United States
Nicholas, Tom, and David Chen. "The Wright Brothers and Their Flying Machines." Harvard Business School Case 811-034, December 2010. (Revised March 2015.)
- 1999
- Working Paper
Machines and Mindlessness: Social Responses to Computers
By: Clifford Nass and Youngme Moon
Making Workplaces Safer Through Machine Learning
Government agencies can use machine learning to improve the effectiveness of regulatory inspections. Our study found that OSHA could prevent as much as twice as many injuries—translating to up to 16,000 fewer workers injured and nearly $800 million in social... View Details
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
- June 1983
- Teaching Note
Note on the Paper Machinery Industry, Teaching Note
Teaching Note for (9-383-185). View Details
Keywords: Pulp and Paper Industry
- November 2023 (Revised June 2024)
- Case
Zest AI: Machine Learning and Credit Access
By: David S. Scharfstein and Ryan Gilland
Scharfstein, David S., and Ryan Gilland. "Zest AI: Machine Learning and Credit Access." Harvard Business School Case 224-033, November 2023. (Revised June 2024.)
- March 1988
- Background Note
Machine Tool Industry and Industrial Policy--1955-82 (Condensed)
By: Norman A. Berg
Berg, Norman A. "Machine Tool Industry and Industrial Policy--1955-82 (Condensed)." Harvard Business School Background Note 388-117, March 1988.
- May 1977 (Revised October 1989)
- Case
International Business Machines (F): Contracting for the Development and Manufacture of a New Machine
Corey, E. Raymond, and Roger Bennett. "International Business Machines (F): Contracting for the Development and Manufacture of a New Machine." Harvard Business School Case 577-159, May 1977. (Revised October 1989.)
Work Mate Marry Love: How Machines Shape Our Human Destiny
What will happen to our notions of marriage and parenthood as reproductive technologies increasingly allow for newfangled ways of creating babies? What will happen to our understanding of gender as medical advances enable individuals to transition from one set of... View Details