Scaling predictive maintenance requires a consistent and repeatable approach across assets and sites.

In this session, you will get a high level overview of how asset based AI represents the latest evolution in predictive and prescriptive maintenance. You will see how reusable models and asset libraries help standardize approaches, accelerate deployment, and reduce reliance on scarce expertise.

The session focuses on how to move from pilots to a scalable and repeatable capability that supports earlier issue detection and more confident maintenance decisions.