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Show Results For
- All HBS Web
(1,910)
- News (289)
- Research (1,262)
- Events (23)
- Multimedia (10)
- Faculty Publications (740)
- 03 Jun 2021
- News
Insurance to Mitigate the Risk of AI Systems Coming into View
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- 26 Nov 2012
- Research & Ideas
New Winners and Losers in the Internet Economy
calls the "less glamorous layer" that supports those big brand names, such as digital advertising agencies, ad networks, ad exchanges, customer analytics firms, listening platforms, and other firms... View Details
- February 1999 (Revised June 1999)
- Case
Bloomberg L.P.
By: Clayton M. Christensen, Richard G. Hamermesh and Jeremy Dann
Michael Bloomberg founded his company to provide customers quick access to financial market data and analytical tools for understanding that data. As Bloomberg L.P. grew quickly,entered the ranks of "large, established companies," it grappled with a whole new range of... View Details
Keywords: Human Resources; Management Analysis, Tools, and Techniques; Organizational Culture; Organizational Structure; Problems and Challenges
Christensen, Clayton M., Richard G. Hamermesh, and Jeremy Dann. "Bloomberg L.P." Harvard Business School Case 399-081, February 1999. (Revised June 1999.)
- 23 Apr 2019
- First Look
New Research and Ideas, April 23, 2019
readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories View Details
Keywords: Dina Gerdeman
- Research Summary
Overview
Paul is primarily interested in studying explainable machine learning (ML), digital transformation, and data science operations. He works on research that explores how stakeholders within organizations can use machine learning to make better decisions. In particular,... View Details
- 04 Apr 2018
- Research & Ideas
Smart Cities are Complicated and Costly: Here's How to Build Them
Chombosan Much promotion of smart cities assumes that municipalities will take a proactive, top-down, technology-first approach to urban progress. Thus far, these initiatives look for some forward-thinking city official (or immensely deep-pocketed private investor) to... View Details
- September 2023 (Revised January 2024)
- Case
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud
In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a workforce of 160,000 in 2020, AB InBev... View Details
Keywords: Beer; Forecasting; COVID-19; Decision; Forecasting and Prediction; Analytics and Data Science; Crisis Management; Decisions; Financing and Loans; Investment Return; Resource Allocation; Distribution; Production; Business Processes; Strategic Planning; Health Pandemics; Digital Transformation; Markets; Food and Beverage Industry; Belgium; Europe; Latin America; North and Central America
Egan, Mark, C. Fritz Foley, Esel Cekin, and Emilie Billaud. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Case 224-020, September 2023. (Revised January 2024.)
- 07 Feb 2022
- Research & Ideas
Digital Transformation: A New Roadmap for Success
companies. While they agreed that leaders urgently needed to expand their knowledge, they didn’t see eye to eye on what digital literacy means. A few argued that leaders should understand data analytics... View Details
- 08 Jan 2019
- First Look
New Research and Ideas, January 8, 2019
collaborative filtering with cosine similarity of products, and comparison of different prediction models. Purchase this case:https://hbsp.harvard.edu/product/119024-PDF-ENG Harvard Business School Case 118-107 View Details
Keywords: Dina Gerdeman
- 22 Feb 2022
- News
March 2022 Alumni and Faculty Books
an appendix detailing 10 math facts numerate people should know. Perfect for undergraduate and graduate students entering advanced data analytics courses, as well as View Details
- 01 Dec 2022
- News
Educating, Connecting, and Mobilizing Around Climate Change
opportunities, measuring and analyzing purpose inside organizations, ESG data analytics and strategies, and the... View Details
Keywords: Jennifer Gillespie
- 18 Sep 2018
- First Look
New Research and Ideas, September 18, 2018
in designing and assessing policy. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=54968 Large-Scale Demand Estimation with Search Data By: Amano, Tomomichi, Andrew Rhodes, View Details
Keywords: Dina Gerdeman
- 27 Sep 2018
- HBS Seminar
Cesar Hidalgo, MIT
- 21 Aug 2018
- First Look
New Research and Ideas, August 21, 2018
underlying reasons for their limited success. Our analysis of American Hospital Association (AHA) data on hospital-based ACOs found that many organizations do not have the capability to track and share... View Details
Keywords: Dina Gerdeman
- 06 Nov 2018
- First Look
New Research and Ideas, November 6, 2018
forthcoming Management Science Patent Trolls: Evidence from Targeted Firms By: Cohen, Lauren, Umit Gurun, and Scott Duke Kominers Abstract—We provide the first large-sample evidence on the behavior View Details
Keywords: Dina Gerdeman
- 2024
- Report
The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy
By: Suraj Srinivasan, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat and Vaishnavee Ananth
Since the proliferation of smartphones and social media in the late 2000s, digital has captured an increasingly large portion of the economy. In this Capgemini Research Institute report, The Eco-Digital EraTM: The dual transition to a sustainable and... View Details
Srinivasan, Suraj, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat, and Vaishnavee Ananth. "The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy." Report, Capgemini Research Institute, January 2024.
- 01 Jun 2016
- News
Making It Possible to Explore and Grow
doctorate, I started out as a biologist with an interest in biofuels,” he says. “Then I began working half-time on the science and half-time on business development. I discovered that building the narrative... View Details
- 24 Jul 2018
- First Look
New Research and Ideas, July 24, 2018
contest. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=54708 June 2018 Management Science Personal and Social Usage: The Origins of Active Customers and Ways... View Details
Keywords: Dina Gerdeman
Seth Neel
Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details