High-quality master data, connected system architectures, and intelligent maintenance execution form the backbone of modern operational performance. This interactive workshop delivers an end-to-end framework for transitioning enterprise asset operations from foundational data governance to advanced, AI-driven reliability. Participants will examine practical methods for transforming raw asset data into structured operational intelligence and seamless field execution.

Part 1: Building the AI-ready data foundation focuses on solving the persistent master data headaches facing asset-centric businesses. Delivered with expert contributions from PiLog, this section explores industry best practices for enterprise asset governance, taxonomy standardisation, asset onboarding, and cross-company collaboration. Attendees will examine how establishing a clean, contextualised digital data foundation eliminates operational silos and enables scalable reliability frameworks across the enterprise.

Part 2: Turning asset intelligence into reliability & performance walks through the operational lifecycle, from insight to action. Participants will analyse strategies for triggering work using Condition-Based Maintenance (CBM), integrating Operational Technology (OT) and Information Technology (IT) with SAP Asset Performance Management (APM), and applying failure mode analysis to prevent unexpected breakdowns. The session concludes by demonstrating how to balance work demand, optimise field dispatch using SAP Field Service and Asset Management (FSA), and prepare maintenance organisations for autonomous asset management.