What You’ll Learn
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How to unify IT and OT data without disruption
Connect MQTT, OPC UA, telemetry, and SAP work orders into a single contextual intelligence layer using IRIS Foundry. -
How FMEA-trained ML models improve predictive accuracy
Apply industrial-grade models built in ML Studio to map live signals to defined failure modes. -
How risk-based maintenance prioritizes ROI
Use AI-driven risk scoring to rank issues by failure probability and production impact across machine fleets. -
How to detect failures before they happen
Identify spindle bearing wear, servo drift, backlash growth, thermal drift, and current deviation early using SPC and degradation forecasting. -
How to move from insight to execution automatically
Leverage an AI copilot for natural language analytics and auto-generate SAP work orders with complete failure context and recommended actions. -
How to reduce downtime and manual workflows
Shift from reactive firefighting to proactive, automated maintenance that accelerates response and protects production continuity.