Generative AI
As the interest in generative AI (genAI) grows, there is an urgent need to understand its current capabilities, limits, and their implications for business. In this page you will find several resources coordinated by the Center for Intelligent Business to help business leaders navigate this exciting technology.
Research
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Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes by Emily DeJeu (April 2024)
- How Much Should We Trust LLM Results for Marketing Research? by Liying Qiu, Param Vir Singh, and Kannan Srinivasan (Jul, 2023)
- Bias in Generative AI by Mi Zhou, Vibhanshu Abhishek, Kannan Srinivasan (Aug, 2023)
GenAI Fellows
The 2023 Gen-AI Fellows
The goal of this program is to enhance understanding of genAI applications in all functional areas of business and to make resources and research available to business leaders who engage with the center.
- Laurence Ales (lead)
- Sean Ammirati (entrepreneurship)
- Emily DeJeu (business communications)
- Sunkee Lee (organizational behavior)
- Joy Lu (marketing)
- Ben Moseley (operations)
- Bryan Routledge (finance)
- Karan Singh (machine learning)
For any questions don’t hesitate to contact Laurence Ales (ales@cmu.edu).
The CIB Guides to Generative AI
The fellows have prepared extensive reviews of the impact of genAI on business. You can find the reports here:
Past Webinar Recordings
- GenAI: Implications on Business & the Workforce (September 20, 2023)
- How is AI Changing Healthcare? (October 11, 2023)
- Principles, Potential and Pitfalls of Generative AI (October 25, 2023)
- Generative AI Tools for Workplace Communication: Suggestions for Effective and Ethical Use (November 13, 2023)
- Use Cases of GenAI in Talent Recruitment and Sparking Creativity (February 13, 2024) - link coming soon!
- GenAI for Business Analytics (Thursday March 14 2024) - link coming soon!