82% of asset failures appear randomly, and 1 in 3 quality escapes lead directly to costly downtime or rework. By converging AI-driven inspections with asset intelligence, manufacturers can move from detection to prediction—transforming product quality into a competitive advantage. ​ ​

Join us for an exclusive deep dive into IBM’s Client Zero case study, where we are transforming our semiconductor packaging operations using Maximo’s AI-powered predictive quality and asset intelligence solutions.​

You’ll see how:

• Inspection anomalies stream into Maximo Monitor dashboards in real time
• Asset health data is correlated with product quality outcomes
• Closed-loop workflows in Maximo Manage automatically trigger maintenance actions
• A proven, scalable framework can be applied in your manufacturing operations

By attending, you’ll learn how to:

• Reduce costly downtime (up to $21K per minute) with predictive insights
• Cut inspection false positives by 30–50% using AI
• Unlock 99% of unused sensor data for actionable intelligence
• Improve yield by 10–15% through early defect detection ​ ​​​

Presenters:​

• Surya Vamsi Miriyala - WW Product Manager, Maximo Application Suite, IBM Asset Lifecycle Management
• Susan Zichittella - Program Director, Emerging Technology, I4.0 Solutions, IBM Supply Chain Engineering