AI-Enabled Resilient Platform Architectures Supporting Public Health and Industry through SAP-Centric DevOps and Policy Alignment
DOI:
https://doi.org/10.15680/IJCTECE.2025.0804009Keywords:
AI-Enabled Platforms, SAP-Centric Architecture, DevOps Automation, Public Health Systems, Industrial Systems, Resilience Engineering, Policy Alignment, Predictive Analytics, System Interoperability, Enterprise IT StrategyAbstract
The growing complexity of public health and industrial systems demands resilient, adaptive, and intelligent platforms. This paper presents an AI-enabled platform architecture framework designed to integrate SAP-centric enterprise systems with modern DevOps practices, ensuring operational continuity, scalability, and policy compliance. By leveraging machine learning, predictive analytics, and automation, the architecture enhances decision-making, reduces system downtime, and supports strategic policy alignment in both public health and industrial domains. The proposed framework emphasizes real-time monitoring, anomaly detection, and adaptive workflows to improve resilience, while facilitating interoperability between heterogeneous systems. Early simulations demonstrate the architecture’s potential to optimize resource allocation, enhance system reliability, and align operational processes with regulatory requirements.References
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