Machinery and Machining - Publications - Faculty & Research - Harvard Business School

Filter Results: (1,434)

Filter Results: (1,434)

Show Results For

← Page 45 of 1,434 Results →

July 2011 (Revised September 2012)
Case

Industrial Metrology: Getting In-Line? (A)

Metrology plays a key role in the manufacture of mechanical components. Traditionally it is used extensively in a pre-process stage where a manufacturer does process planning, design, and ramp-up, and in post-process off-line inspection to establish proof of quality.... View Details

Keywords: Transformation; Machinery and Machining; Measurement and Metrics; Product Design; Planning; Quality; Opportunities; Competitive Strategy; Diversification; Segmentation; Technology Adoption; Theory; Manufacturing Industry

2024
Conference Paper

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal

Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details

Keywords: Large Language Model; AI and Machine Learning

March 2024 (Revised April 2024)
Supplement

From "BIG" Ideas to Sustainable Impact at ICL Group (B)

By: Linda A. Hill and Lydia Begag

In August 2023, Raviv Zoller, CEO of ICL Group, discussed his upcoming business trip to St. Louis with Eduard Croitoru, VP of ICL Corporate Initiatives, to commemorate the construction of ICL's new $400 million advanced manufacturing facility. In preparation for the... View Details

09 Dec 2010
News

Driving the Market for Big-Rig Engines

Keywords: Machinery Manufacturing; Machinery Manufacturing

2023
Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju

One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details

Keywords: AI and Machine Learning; Mathematical Methods

26 Apr 2020
Other Presentation

Towards Modeling the Variability of Human Attention

By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber

Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details

Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning

October 2024
Case

Nvidia

By: Andy Wu and Matt Higgins

This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details

Keywords: Strategy; Technological Innovation; AI and Machine Learning; Product Development; Manufacturing Industry; Technology Industry; Electronics Industry; United States; China; Taiwan

2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods

July–August 2021
Article

Why You Aren't Getting More from Your Marketing AI

By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie

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 differences between the value of... View Details

Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning

Find at Harvard

January 2006 (Revised April 2007)
Case

General Electric Healthcare, 2006

By: Tarun Khanna and Elizabeth Raabe

In January 2006, Joe Hogan, head of General Electric (GE) Healthcare Technologies, prepared to step into William Castell's shoes as CEO of GE Healthcare, the world's leading manufacturer of diagnostic imaging equipment. In 2004, former CEO Jeff Immelt acquired Amersham... View Details

Keywords: Corporate Entrepreneurship; Cost vs Benefits; Growth and Development Strategy; Mergers and Acquisitions; Machinery and Machining; Global Range; Multinational Firms and Management; Product Design; Technological Innovation; Expansion; Value Creation; Business Subsidiaries; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry

March 2024
Exercise

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss

"Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a... View Details

Keywords: AI and Machine Learning; Problems and Challenges

November 1987 (Revised January 1988)
Case

Groen: A Dover Industries Company

By: Francis Aguilar

Describes the challenges facing the president of an old-line foodservice and food processing equipment manufacturing company as it attempted to accelerate sales and profit growth through the introduction of innovative products. The introduction of a "revolutionary"... View Details

Keywords: Business or Company Management; Corporate Entrepreneurship; Labor and Management Relations; Machinery and Machining; Management Style; Management Teams; Performance Efficiency; Technological Innovation; Product Development; Organizational Culture

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

Keywords: AI and Machine Learning; Value; Competency and Skills

Register to Read

April 2023
Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel

As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details

Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information

December 18, 2024
Article

Is AI the Right Tool to Solve That Problem?

By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne

While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details

Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges

Register to Read

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

August 25, 2022
Article

Find the Right Pace for Your AI Rollout

By: Rebecca Karp and Aticus Peterson

Implementing AI can introduce disruptive change and disfranchise staff and employees. When members are reluctant to adopt a new technology, they might hesitate to use it, push back against its deployment, or use it in limited capacity — which affects the benefits an... View Details

Keywords: AI and Machine Learning; Technology Adoption; Change Management

September 1986 (Revised August 1987)
Case

Pressco, Inc.--1984

By: William E. Fruhan Jr.

A marketing representative of heavy industrial equipment needs to evaluate the net present value of his equipment from the perspective of the buyer under changing tax regulations. View Details

Keywords: Machinery and Machining; Valuation; Product Positioning; Performance Evaluation; Taxation; Price; United States

Find at Harvard

July 2024 (Revised January 2025)
Case

Dynamic Pricing at Wendy’s: Where’s the Beef?

By: Elie Ofek, Alicia Dadlani and Martha Hostetter

In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details

Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry

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

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

←
45
46
…
71
72
→