Dynamic asset network risk analysis

Dynamic asset network risk analysis

By leveraging a business platform for multi-source data ingestion and processing—including spatial data—we present a use case of a configurable risk model. In this approach, weights, material degradation curves, soil factors, thresholds, and decision rules are managed as metadata and semantic models, enabling flexibility, transparency, and rapid adaptation.