Industrial AI has tremendous potential to transform manufacturing, but many
organizations struggle to move beyond pilots and proofs of concept. The challenge often
isn’t the AI itself. It’s knowing where to start, how much data is really required, and which
use cases can demonstrate measurable value quickly.
This session will explore a practical approach to getting started with Industrial AI by
focusing on existing operational data and clearly defined business outcomes. Using
Perfect Batch and Perfect Centerline as examples, TwinThread will demonstrate how
manufacturers can apply AI and digital twins to learn from historical production
performance, identify the conditions and operating parameters that drive the best
outcomes, and provide actionable recommendations to improve future production.
Attendees will learn how to assess data readiness, select a high-value initial use case,
demonstrate results quickly, and establish a scalable foundation for expanding Industrial
AI across additional processes, production lines, and sites.