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- All HBS Web
(888)
- People (1)
- News (155)
- Research (564)
- Events (10)
- Multimedia (3)
- Faculty Publications (466)
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- October 2019
- Case
Feeling Machines: Emotion AI at Affectiva
By: Shane Greenstein and John Masko
In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details
Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States
Greenstein, Shane, and John Masko. "Feeling Machines: Emotion AI at Affectiva." Harvard Business School Case 620-058, October 2019.
- Web
Introduction - The Audience - The Human Factor – Baker Library | Bloomberg Center, Historical Collections
powerful industrial enterprise to which satisfied workers devoted themselves. Fortune magazine, for example—the quintessence of sophistication in graphic design and photojournalism—catered to the elite managerial class, portraying the interaction of worker and View Details
- Web
A Manager's Guide to Leveraging Technology - Course Catalog
provide students with a solid foundation in the key technologies shaping the business landscape, including cloud computing, mobile technologies, social media, data analytics, AI, machine learning, and generative AI. Students will View Details
- Web
Greg Lipstein Archives | Social Enterprise
Curriculum Social Enterprise Student Club Social Entrepreneurship Summer Fellows Technology for Good Transformative Impact Tri-Sector Impact 1 Results Machine Learning for Social Impact Greg Lipstein 21 Dec... View Details
- May 2024
- Supplement
HubSpot and Motion AI (B): Generative AI Opportunities
By: Jill Avery
The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details
Keywords: Artificial Intelligence; CRM; Chatbots; Sales Management; Generative Ai; SaaS; Marketing; Sales; AI and Machine Learning; Customer Relationship Management; Applications and Software; Technological Innovation; Competitive Advantage; Technology Industry; United States
Avery, Jill. "HubSpot and Motion AI (B): Generative AI Opportunities." Harvard Business School Supplement 524-088, May 2024.
- Career Coach
Troy Peterson
an uncommon intention for a military veteran with a history degree: to jump into the tech world and work in product. After working through challenges getting & preparing for tech interviews, Troy joined a team at Facebook building industry-leading View Details
- Profile
Pranav Kothari
Curiosity has always propelled Pranav Kothari. As a child in India, he was intrigued by his family's wholesale textile business. "I was always interested in how things work, how they're made, how machines produce," Pranav says.... View Details
- 20 Mar 2017
- Book
Why Companies Are Placing Users at the Core of Their Innovation Strategies
on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,... View Details
Keywords: by Dina Gerdeman
- 02 Jan 2019
- What Do You Think?
SUMMING UP: Do We Need an Artificial Intelligence Czar?
inputs to machine learning and the creation of artificial intelligence. Each of these related fields of activity and opportunity encompasses a wide swath of the economy. Together, they describe a sector that... View Details
- March 2018
- Case
IBM: Watson and the Internet of Things
By: Rajiv Lal and Scott Johnson
IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market. View Details
- 17 Feb 2016
- Research & Ideas
Man vs. Machine: Which Makes Better Hires?
complex job duties. When it comes to the kind of hiring decisions the researchers looked at in the study, however, it may be time to concede there are some things machines simply do better than humans. “It’s natural for people to think... View Details
- 06 Dec 2021
- News
Embracing Digital Transformation
Illustration by Stephanie Dalton Cowan Leaders today, in every sector and around the world, are grappling with the opportunities and challenges of digital innovation—from artificial intelligence to machine View Details
- Career Coach
Yiwei Zhao
company, where she gained insights into machine learning development cycles. She can help students understand how tech companies of different stages recruit, what it’s like to build a career in tech, and how... View Details
- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
period. Stock indexes can transform longstanding behavior via nonpecuniary channels. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53030 Machine Learning and Human Capital:... View Details
Keywords: Dina Gerdeman
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
predict demand and set prices to maximize revenue of products that have no historical sales data? To that end, they set out to develop a pricing decision support tool that would use existing data to maximize revenue on new products. The researchers used View Details
- 01 Feb 1998
- News
Short Takes
altruistic reasons for serving, many also reported that such participation allowed them to practice business skills and make professional contacts not always possible through their everyday duties. "One focus group of top-level managers agreed that what they View Details
Keywords: Judith A. Ross
- 05 Oct 2017
- Blog Post
Working as a Software Engineer in Industrial Technology
out the softer skills required for effective management, so I wanted to balance that by using the summer to hone my engineering skillset. I spent the summer building machine learning and artificial... View Details
Keywords: Technology
- 02 Feb 2023
- News
Can We Really Engineer a Climate Fix?
Photo credits: Aaron Sabin; Russ Campbell Subscribe on iTunes Subscribe on Spotify More Skydeck episodes Dan Morrell: Hi, this is Dan Morrell, host of Skydeck. This is the first episode of "Clearing the Air", a three-part series focused on the business of carbon... View Details
- 30 Nov 2021
- Interview
TikTok: Super App or Supernova?
By: Jeffrey F. Rayport and Brian Kenny
TikTok’s parent company, ByteDance, was launched in 2012 around the simple idea of helping users entertain themselves on their smartphones while on the Beijing Subway. By May 2020, TikTok operated in 155 countries and had roughly 1 billion monthly active users, placing... View Details
Keywords: Apps; Artificial Intelligence; Business Startups; Mobile and Wireless Technology; Business Model; Digital Platforms; Growth and Development Strategy; AI and Machine Learning; Social Media
"TikTok: Super App or Supernova?" Cold Call (podcast), Harvard Business Review Group, November 30, 2021. (Interviewed by Brian Kenny.)