Manufacturers are under pressure to “use more AI,” but many initiatives stall before they
deliver measurable value or fail to even get off the ground. This session provides a practical
roadmap for moving from AI ambition to action: selecting the right use case, building a strong
problem statement, quantifying the opportunity, assessing data and organizational readiness,
and matching the problem to the right type of AI solution. Along the way, attendees will see
practical examples of what’s possible with large language models, Industrial AI, and the
combination of the two—from making operational knowledge easier to access to predicting
performance, optimizing processes, and turning specialized analytics into intuitive,
conversational guidance. Attendees will leave with a clearer framework for identifying high-
value AI opportunities and turning them into scalable, justifiable projects.