Wednesday, November 4
6 to 8 p.m.
University of St. Thomas
Schulze Hall, Room 120
Networking and refreshments to follow
Save the date: November 4, 2026
AI Agents at Work: From Data to Decisions
See an AI agent handle a business task from start to finish—and learn how to test one responsibly in your organization.
AI Agents at Work: November 4 in Minneapolis
What happens when AI moves beyond answering questions and starts completing work?
Join Opus College of Business professors Mark Price and Katie Berry for a live demonstration of an AI agent handling a real business task. You’ll watch the agent take a goal, break it into steps and work toward a useful result.
Along the way, you’ll see how data, analytics, and AI come together to solve a business problem. You’ll also learn where human judgment remains essential and how organizations can use AI agents responsibly.
Why AI agents matter
Unlike a chatbot that responds to a single prompt, an AI agent can move through a multistep process. It can read documents, analyze information, produce outputs and identify decisions that require a person.
Organizations are already exploring how to put these capabilities to work. According to McKinsey, 9 in 10 organizations regularly use AI in at least one business function, but only about 40% report scaling AI agents.
What you’ll learn
- How AI agents differ from familiar generative AI tools
- How data and analytics support an agent’s work
- How an agent approaches a multistep business problem
- Where human oversight and judgment remain essential
- What organizations should consider when selecting a first pilot
Who should attend
This event is designed for professionals and prospective graduate students interested in business analytics, AI and data-informed decision-making.
If you are considering an MS in Business Analytics or an MBA, the session will give you a firsthand look at how Opus faculty connect emerging technologies with practical business applications.
No technical background is required.
Event schedule
5:30 pm: Check-in
6-7 pm: Presentation and live demonstration
7-8 pm: Networking, questions and conversation
Contact
Graduate Business Program Team
Meet the Speakers
Katie Berry
Katie Berry has worked in marketing for over 15 years and currently works an AI consultant and professor of marketing at the University of St. Thomas. In her consulting practice, she focuses on AI integrations and governance, and developing business growth strategies focused on customer needs and wants.
She previously led marketing campaigns for U.S. Bank including the bank's first AI-driven brand campaign in 2024. She also owns a chiropractic clinic with her husband where she uses AI to boost their small but mighty team of two.
Berry has taught undergraduate, graduate and executive education marketing courses since 2019. She received a master of public policy degree from the University of Minnesota focused on organizational strategic communications and a bachelor of arts from the University of St. Thomas majoring in communication studies and financial management, where she received summa cum laude honors.
Mark Price
Mark Price is Distinguished Service Professor and AI Faculty Lead at the Opus College of Business. After more than two decades building analytics capabilities for Fortune 500 companies, high‑growth start‑ups and nonprofits, he now designs and teaches graduate, undergraduate and executive courses that help leaders turn data into competitive advantage.
Price founded LiftPoint Consulting and grew it into a multimillion‑dollar marketing‑analytics practice before leading the data‑analytics group at ThreeBridge Solutions. As Chief Data Officer at CaringBridge, he established the nonprofit’s first enterprise analytics function, employing AI‑driven insights to reshape growth strategy.
Fluent in Spanish and passionate about entrepreneurship, Price mentors start‑ups in Minnesota Cup, and serves on the boards of The Friends of the Saint Paul Public Library and Jewfolk, Inc. His current thought leadership explores how generative AI reshapes customer experience and organizational performance.