Rafael Ayllon, Data Analyst, Indorama Ventures PLC

Explore how Indorama Ventures Química Spain is transforming maintenance and operational excellence through scalable analytics, machine learning, and integrated workflows. In this breakout session, the team explains how it combines process data, vibration measurements, Seeq, Power BI, Teams, SharePoint, and Copilot to detect anomalies, monitor assets, diagnose mechanical and process failures, and move from reactive troubleshooting to proactive intervention. The session highlights how automated indicators and standardized asset models reduce hours of manual review, give engineers faster and clearer insights, and create a repeatable digital operating model that can scale across assets, sites, and the broader Indorama Ventures manufacturing network.