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(6,756)
- News (1,202)
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Show Results For
- All HBS Web
(6,756)
- News (1,202)
- Research (4,389)
- Events (115)
- Multimedia (62)
- Faculty Publications (3,009)
- Research Summary
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen Mills
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
- 2008
- Conference Presentation
Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses
By: F. Wattenberg, K. Erickson, J. Helms, K. DeGregory and Hise O. Gibson
Wattenberg, F., K. Erickson, J. Helms, K. DeGregory, and Hise O. Gibson. "Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses." Paper presented at the 20th International Conference for Technology in Collegiate Mathematics (ICTCM), San Antonio, TX, 2008.
- 18 Dec 2024
- Podcast
Using AI and Satellite Data to Transform Agriculture: A Conversation with Alyssa Whitcraft
Dr. Alyssa Whitcraft is a professor at University of Maryland and a leading expert in agricultural remote sensing and climate adaptation. Dr. Whitcraft discusses her journey from co-founding NASA Harvest, a global program addressing food security with satellite data,... View Details
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- July 2015 (Revised October 2017)
- Case
Podium Data: Harnessing the Power of Big Data Analytics
By: Lynda M. Applegate, Karim R. Lakhani and Nicole Bucala
Applegate, Lynda M., Karim R. Lakhani, and Nicole Bucala. "Podium Data: Harnessing the Power of Big Data Analytics." Harvard Business School Case 816-007, July 2015. (Revised October 2017.)
- May 1986
- Case
Data Administration in Citibank Brazil (A): The Competitive Advantage
By: Shoshana Zuboff
Keywords: Banks and Banking; Information Management; Competitive Advantage; Banking Industry; Brazil
Zuboff, Shoshana. "Data Administration in Citibank Brazil (A): The Competitive Advantage." Harvard Business School Case 486-109, May 1986.
- 25 Jun 2013
- News
For 23andMe, The Real Value Could Be In Its Data
- April 1988
- Article
Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)
By: Hirotaka Takeuchi and Hiroshi Kobayashi
Takeuchi, Hirotaka, and Hiroshi Kobayashi. "Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)." Hitotsubashi bijinesu rebyū [Hitotsubashi Business Review] (April 1988).
- 17 Dec 2015
- News
New Research: Big Data Offers New Possibilities for City Planners
- May–June 2015
- Article
Big Data: Big Deal or Big Hype?
By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- 11 Apr 2012
- News
5 Founder Lessons From a Decade of Data on Startups
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
- February 2021
- Tutorial
Getting Started in RStudio Cloud
By: Chiara Farronato and Caleb Kwon
This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details
- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.