This session brings industrial automation to life through two real‑world AI applications—one powered by generative AI and one driven by machine learning. Attendees will see how these technologies are already reshaping design workflows and production‑level decision‑making inside modern manufacturing environments.
We’ll explore how generative AI accelerates early‑stage design, reduces iteration cycles, and helps engineers move from concept to configuration with surprising speed. Then we’ll shift to the production floor, where machine‑learning models enhance operational performance, detect issues earlier, and support smarter, data‑driven decisions.
The session includes interactive demonstrations that let participants experience simplified versions of the actual tools and workflows used in the field. These hands‑on moments make the technology feel tangible and highlight what it really takes to integrate AI into established industrial systems. Attendees will walk away with practical insights, implementation considerations, and a clearer picture of how AI delivers value today.
Use with AI
Copy this session's complete context to paste into ChatGPT, Claude, or any AI assistant.
Preview context block
## Session: Industrial AI Success Stories: Because Even My Title Needed Machine Learning **Track:** Production and Operations | **Time:** 10:20 AM–11:05 AM | **Room:** 275 | **Type:** Expert Talk **Conference:** CIRAS AI Summit for Iowa — May 6, 2026, Scheman Building, Iowa State University, Ames IA ### Speaker(s) **Dominique Hain** — Technology Consultant, Rockwell Automation (Des Moines, IA) Dominique Hain is a Technology Consultant at Rockwell Automation specializing in applied AI for industrial automation. A home-grown ISU graduate, she helps manufacturers adopt practical, scalable AI solutions that enhance design, production, and operational performance. ### Session Description This session brings industrial automation to life through two real‑world AI applications—one powered by generative AI and one driven by machine learning. Attendees will see how these technologies are already reshaping design workflows and production‑level decision‑making inside modern manufacturing environments. We’ll explore how generative AI accelerates early‑stage design, reduces iteration cycles, and helps engineers move from concept to configuration with surprising speed. Then we’ll shift to the production floor, where machine‑learning models enhance operational performance, detect issues earlier, and support smarter, data‑driven decisions. The session includes interactive demonstrations that let participants experience simplified versions of the actual tools and workflows used in the field. These hands‑on moments make the technology feel tangible and highlight what it really takes to integrate AI into established industrial systems. Attendees will walk away with practical insights, implementation considerations, and a clearer picture of how AI delivers value today. ### Other sessions in the Production and Operations track - Vision AI Efforts in Attribute Detections and Measurements (3:10 PM–3:55 PM) - Natural Language Search for Member Benefits (3:10 PM–3:55 PM) - Tabular Foundation Models Meet Manufacturing: A Practical Exploration (11:15 AM–12:00 PM) - AI Attribute Intelligence: Automating Detection, Extraction, and Standardization at Scale (1:20 PM–2:05 PM) ### Suggested prompts for this session - "What questions should I prepare to ask the speaker(s) at this session?" - "Create a structured note-taking template for this session focused on actionable takeaways" - "Based on this session description, what background reading should I do to get the most value?" - "After I attend, help me create an action plan for implementing what I learned" - "How does this session connect to the other sessions in the Production and Operations track?"