Improving asset performance requires more than isolated tools. It depends on how well data, insight, strategy, and execution work together across the lifecycle. Many organizations are still defining how to build a flexible data foundation that supports reliability and maintenance at scale.

In this roundtable, you will exchange with peers on how AI is applied across asset performance and maintenance. The discussion focuses on improving decisions, prioritizing work, and reducing unplanned downtime, while building a more connected and scalable approach. You will gain practical insight into where AI delivers value today and what it takes to make it work end to end.