In sectors that depend on having physical objects, SAP Business Technology Platform (SAP BTP) and SAP Asset Accounting (FI-AA) have recently developed considerable momentum as approaches to regulatory compliance plans and predictive maintenance processes. This review looks at machine learning applications, data orchestration platforms, and architecture optimizations that cross the frontiers of capital and operational constraints in relation to asset management. Experiments show a meaningful improvement in asset life cycle optimization, compliance, and predictive accuracy.

The global regulated landscape poses a formidable compliance challenge to international organizations. In this article, we present a multi-layered compliance and governance framework that incorporates international standards, national regulations, organizational governance, technology enablement, product development, operational activities, and feedback. We illustrate through test case simulations how regulatory compliance guidelines trickle from the theoretical construct of frameworks to concrete operations activities.

With applications in vulnerability analysis, malware variant detection, and cross-version patching, function similarity analysis in stripped binaries—where symbol tables and debug metadata are absent—is a key challenge in binary code analysis. Promising developments have been made by the introduction of transformer-based embeddings, which allow models to generalize across compiler/architecture variations and capture long-range instruction context.