Deutsche Bahn relies heavily on sophisticated Condition-Based Maintenance (CBM) to ensure train punctuality and passenger safety. To keep their digital asset strategy future-proof, Deutsche Bahn is navigating a highly strategic migration within SAP Asset Performance Management (APM), moving from the legacy sIoT (Shared IoT) engine over to the powerful new eIoT (Embedded IoT) engine.

Join this technical case study session to explore Deutsche Bahn’s migration roadmap. Discover the practical planning steps required to shift live asset data, the key architectural differences between sIoT and eIoT, and how this transition unlocks enhanced near-real-time sensor processing and more automated, robust maintenance rules.

What participants will learn:
• How to look past standard technology narratives and actively measure how migrating to an embedded IoT architecture reduces operational risk, prevents delays, and preserves enterprise value
• Strategies for utilising real-time sensor processing and automated maintenance rules to guarantee passenger safety and maintain strict regulatory compliance across heavy infrastructure
• Practical planning steps, architectural guardrails, and risk-mitigation strategies for shifting live telemetry data from legacy sIoT to the new eIoT engine without operational downtime
• How the transition to near-real-time processing enables automated, closed-loop maintenance workflows, triggering instant corrective actions before a physical failure occurs