Summary
An enterprise AI solution that predicted critical equipment failures and forecasted performance degradation in chemical production. It unified sensor and maintenance data to provide early warnings and optimized maintenance scheduling. The system reduced unplanned downtime, extended asset run lengths, and improved overall production utilization. Designed to scale across global asset fleets, it enhanced operational reliability and economic performance.