Many organizations have modernized maintenance operations with ERP, EAM, and CMMS systems. Yet they still struggle with unplanned downtime, recurring equipment failures, and rising maintenance costs. The challenge is no longer managing maintenance activities. It is identifying reliability risks before they disrupt operations.

Learn how leading organizations are:

• Using embedded AI and asset performance management to move beyond reactive and preventive maintenance.
• Combining work history, asset condition, inspection findings, and operational data to detect emerging failure patterns.
• Prioritizing risk and focusing resources on critical assets.
• Making more informed maintenance decisions with a complete view of asset health and performance.

Through real-world examples, we'll explore how organizations are using IBM Maximo Application Suite to get asset health insights, predictive analytics, computer vision, and inventory optimization to reduce downtime and improve asset availability. You'll leave with practical maintenance strategies to help reduce costs and gain a roadmap to advance toward predictive and prescriptive maintenance practices.