Practical Tools and Use Cases for GenAI in the IR Office

Wednesday, May 21, 2025

10:15 AM – 11:00 AM East Coast USA Time

Location: Sebastian L1+2

Institution Type: Any

Target Audience: Any

Presenter(s)

MH

Matthew Hoolsema, MA, Higher Education

Director, Data Science and Advanced Analytics
Carnegie Mellon University
Bellflower, California, United States
BH

Brandon Hutton, BA Economics, MS Business Analytics (in progress)

Data Analyst & Project Manager
Carnegie Mellon University
Pittsburgh, Pennsylvania, United States

Session Abstract: This session will provide specific and practical examples of how generative AI can be used to automate some IR/IE tasks such as summarizing transcripts, identifying themes across open-ended survey responses, and sentiment analysis. Data security and privacy considerations will be covered. We will share our experience testing different AI model providers and cloud computing platforms, and will discuss how prompt engineering and more advanced methods such as Retrieval-Augmented Generation (RAG) can be used to provide institutional context to improve model outputs.

Keywords: GenAI, unstructured data, text, encoding, LLM