Generative AI is fast becoming a built-in capability rather than an add-on. This session reviews concrete methods for embedding language- and vision-based models in machine controls, HMIs, and service workflows.
We will cover AI-guided changeovers, conversational diagnostics, design-time code synthesis, and secure edge deployment—along with the data, architecture, and ROI considerations that matter to engineering teams planning their next equipment release.
Learning Objectives:
- Where AI is showing up in machine design and development today
- What is real and practical regarding AI vs what is still experimental
- What it looks like to bring AI into the operator experience in a useful way
- How AI can help close the skills gap
- What are the right first steps with AI instead of trying to do everything at once
- What data is needed before the tools can deliver value