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Show Results For
- All HBS Web
(438)
- News (134)
- Research (192)
- Events (2)
- Multimedia (5)
- Faculty Publications (145)
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
keep important indices, such as unemployment rates, up to date. “Machines can scrape at high frequency to collect publicly available information about consumers, firms, jobs, social media, etc., which can be used to generate indices in... View Details
Keywords: by Kristen Senz
- 05 Nov 2024
- Research & Ideas
AI Can Help Leaders Communicate, But Can't Make Employees Listen
and mistakes and abbreviations the CEO uses,” Choudhury says. “What that tells us, generally, is that at least technologically, we can create a writing bot for any one of us.” Illustrations by Ariana Cohen-Halberstam using images View Details
- Forthcoming
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- 11 Apr 2023
- Research & Ideas
Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide
understand a business. “We want to make money and always looking to generate alpha in our investment strategies, so if machine learning can make us profitable and improve our risk management and trading efficiency, so be it.” Kost: It... View Details
- December 2018
- Teaching Note
Autonomous Vehicles: The Rubber Hits the Road…but When?
By: William Kerr and James Palano
The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about... View Details
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Decision Making; AI and Machine Learning; Auto Industry; Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
whether we should adopt AI—but rather, when and how to do so,” says Andy Wu, the Arjun and Minoo Melwani Family Associate Professor of Business Administration at Harvard Business School. Wu’s recent case study and background note, AI Wars... View Details
- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
the assistance of ChatGPT) Throughout 2023, we dedicated considerable effort to assessing whether the recent strides in generative AI were mere fads or indicative of a transformative future. This period was... View Details
- 15 Aug 2023
- HBS Case
(Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?
the case with HBS professor David B. Yoffie, the Max and Doris Starr Professor of International Business Administration at HBS, and Matt Higgins, now a senior researcher at the HBS California Research Center. At this point, it seems that View Details
- 10 Sep 2024
- Research & Ideas
What Happens When Business Owners Turn to ChatBots for Advice
of the study. "Already we’re seeing how generative AI can change people's lives." Businesses that were already financially stable used the AI-generated advice to produce measurable improvements, while... View Details
Keywords: by Ben Rand
- Research Summary
Overview
My current research focuses on the role of AI in shaping organizational knowledge production, learning, and innovation processes. I run field experiments to study early-stage idea generation and evaluation in entrepreneurial context. View Details
- Awards
Wharton People Analytics White Paper Competition
Winner of the 2024 Wharton People Analytics White Paper Competition for “The Uneven Impact of Generative AI on Entrepreneurial Performance” with Nicholas Otis, Solène Delecourt, David Holtz, and Rembrand Koning. View Details
- 12 PM – 1 PM EDT, 22 Sep 2023
- Webinars: Career
Tech in the Job Search: ChatGPT for Job-Seekers
Join CPD and a former LinkedIn insider for an enlightening webinar and learn to harness the potential of AI tools like ChatGPT to revolutionize your job search experience. View Details
- 02 May 2023
- What Do You Think?
How Should Artificial Intelligence Be Regulated—if at All?
assist, and score against an opponent with the help of AI and relentless 24-hour practice. Or when machines compose better memos, white papers, and poems than you could have written—by means of generative... View Details
- June 2023 (Revised July 2023)
- Case
Social Media Background Screening at Fama Technologies
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States
Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies." Harvard Business School Case 123-010, June 2023. (Revised July 2023.)
- December 2018 (Revised March 2021)
- Background Note
Modern Automation (A): Artificial Intelligence
By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
Suraj Srinivasan
Suraj Srinivasan is the Philip J. Stomberg Professor of Business Administration, a member of the Accounting and Management faculty unit, and chair of the
- 17 Dec 2024
- Video