Predictive maintenance programs often show promise in pilot projects but struggle to deliver sustained, enterprise-wide impact. 

This session explores how Indorama Ventures leveraged Prometheus RapidAPM (Asset Performance Management) to implement best practices and demonstrate measurable value at a single aromatics manufacturing site—building momentum for broader adoption across multiple facilities. 

By integrating predictive insights into routine operational discussions, teams began shifting from reactive troubleshooting toward more proactive, data-informed decision making. Anomalies that previously blended into background noise became visible, actionable signals.   

The approach improved collaboration between operations, maintenance, and engineering while helping teams identify potential issues early to avoid costly disruptions. 

Attendees will gain practical insights into governance, cross-functional engagement, and the cultural changes required to translate machine learning outputs into consistent operational value.