Filter Results:
(51)
Show Results For
- All HBS Web (67)
- Faculty Publications (28)
Show Results For
- All HBS Web (67)
- Faculty Publications (28)
Sort by
- 2009
- Case
The Prediction Lover's Handbook
By: Thomas H. Davenport and Jeanne G. Harris
When picking assessment tools to inform better decisions about future paths, executives are faced with a wide variety of options--some of which are well established, while others are in early stages of development. The authors provide an insider's guide to prediction... View Details
Davenport, Thomas H., and Jeanne G. Harris. "The Prediction Lover's Handbook." 2009.
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- September 2023 (Revised April 2024)
- Case
Atomwise: Strategic Opportunities in AI for Pharma
By: Satish Tadikonda
Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
- Article
Pattern Detection in the Activation Space for Identifying Synthesized Content
By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may... View Details
Cintas, Celia, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, and Komminist Weldemariam. "Pattern Detection in the Activation Space for Identifying Synthesized Content." Pattern Recognition Letters 153 (January 2022): 207–213.
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention
Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 15 Dec 2009
- First Look
First Look: Dec. 15, 2009
Working PapersThe Global Networks of Multinational Firms Authors:Laura Alfaro and Maggie Chen Abstract In this paper we characterize the topology of global multinational networks and examine the macro and... View Details
Keywords: Martha Lagace
- 16 Nov 2016
- Research & Ideas
Turning One Thousand Customers into One Million
and Uber can scale up quickly thanks to affordable technology and networked providers. Credit: AntonMatveev To overcome those challenges, the startups followed similar strategies, initially focusing more on the supply side than on the... View Details
- 17 Aug 2010
- First Look
First Look: August 17
explanations of workplace silence. We discuss implications of these results for theory and practice and suggest directions for future research. Paper not available Working PapersPlatform Envelopment Authors:Thomas Eisenmann, Geoffrey Parker, and Marshall Van Alstyne... View Details
Keywords: Martha Lagace
- 25 Aug 2003
- Research & Ideas
Why IT Does Matter
but not nearly as dramatic as a computer produced in 2000, which runs 10 million times faster than a 1960s' computer. Carr's graph on information technology stands as a subject lesson for Darrell Huff's well-known book How to Lie with... View Details
Keywords: by F. Warren McFarlan & Richard L. Nolan
- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
for neural networks increase, as does accessibility to off-the-shelf APIs from big tech and academic institutions that help speed up innovation. Entrepreneurs have also learned the wisdom of targeting AI... View Details
Keywords: by Rocio Wu
- 23 Oct 2012
- First Look
First Look: October 23
adaptive benefits of synchrony, including neural efficiency and the release of a reward signal that promotes future social interaction. In nature, neural synchrony yields behavioral synchrony. Humans use... View Details
Keywords: Sean Silverthorne
- 28 Aug 2018
- First Look
New Research and Ideas, August 28, 2018
although patenting in neural networks saw a strong burst of activity in the 1990s that has only recently been surpassed. In all technological fields, the number of patents per inventor has declined... View Details
Keywords: Dina Gerdeman
- 13 Feb 2007
- First Look
First Look: February 13, 2007
realities of the global economy, fosters leadership, and uses citizen-diplomats to befriend moderates in troubled regions and business networks to ensure success in the major emerging economies; and (6) building community by stressing... View Details
Keywords: Martha Lagace
- 25 Jun 2013
- First Look
First Look: June 25
is based on network graphs and allows us to identify/define three fundamental architectural patterns, which we label core-periphery, multi-core, and hierarchical. Applying our methodology to a sample of... View Details
Keywords: Anna Secino
- 27 Jul 2019
- Op-Ed
Does Facebook's Business Model Threaten Our Elections?
business strategy, part of Facebook’s business model since at least 2010. That’s when Facebook opened up its Graph application programming interface (API) to advertisers, giving them access to user data including their social View Details
Keywords: by George Riedel
- 01 Nov 2016
- First Look
First Look - November 1, 2016
America Innovation Network By: Acemoglu, Daron, Ufuk Akcigit, and William R. Kerr Abstract— Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis... View Details
Keywords: Sean Silverthorne
- 04 Nov 2014
- First Look
First Look: November 4
emotion regulation and utilitarian decision making. November 2014 Journal of Marketing Research Cost Conscious? The Neural and Behavioral Impact of Price Primacy on Decision-Making By: Karmarkar, Uma R., Baba Shiv, and Brian Knutson... View Details
Keywords: Sean Silverthorne
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity By: Baldwin, Carliss Y. Abstract—The purpose of this chapter is to relate the theory of task networks and technology set forth in previous chapters to... View Details
Keywords: Dina Gerdeman