A Secure AI/ML-Enabled Cloud Enterprise Framework with SAP and Data Warehousing for Mobile Healthcare Communication and Financial Web Platforms
DOI:
https://doi.org/10.15680/IJMRSETM.2025.0106003Keywords:
AI, Machine learning, Cloud enterprise systems, SAP integration, Data warehousing, Mobile healthcare communication, Financial web platforms, Security, Privacy, Governance, Compliance, EquityAbstract
The rapid convergence of mobile healthcare communication systems and financial web platforms has intensified the demand for secure, intelligent, and scalable cloud enterprise architectures. This paper proposes a secure AI and machine learning–enabled cloud enterprise framework that integrates SAP-based enterprise systems and centralized data warehousing to support real-time analytics, intelligent automation, and compliance-aware operations across healthcare and financial domains. The framework leverages cloud-native microservices, AI-driven decision intelligence, and secure mobile communication channels to enable reliable data exchange and adaptive service delivery. Advanced security mechanisms, including identity and access management, encryption, and policy-driven governance, are embedded to address data privacy, regulatory compliance, and trust requirements. The incorporation of SAP data warehousing enhances enterprise-wide data integration, reporting, and analytical consistency, while machine learning models support predictive healthcare insights and financial risk detection. The proposed framework emphasizes fairness, transparency, and auditability to ensure equitable and responsible AI adoption. Experimental analysis and architectural evaluation demonstrate improved scalability, data integrity, and operational efficiency, making the framework suitable for modern cloud-enabled healthcare and financial enterprise environments.
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