Next-Generation AI Framework: SAP-Enabled Machine Learning and Deep Learning-Driven Integration of Healthcare and Digital Banking Ecosystems
DOI:
https://doi.org/10.15662/IJARCST.2025.0806005Keywords:
Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), SAP S/4HANA, SAP Analytics Cloud, Healthcare ecosystem, Digital banking, Blockchain security, Federated learning, Predictive analytics, Data interoperability, Cognitive automation, Business intelligence (BI)Abstract
The integration of Artificial Intelligence (AI) with enterprise systems such as SAP is redefining digital transformation across healthcare and financial sectors. This paper presents a next-generation AI framework that unifies healthcare and digital banking ecosystems through Machine Learning (ML), Deep Learning (DL), and SAP-enabled data orchestration. The proposed framework leverages SAP S/4HANA and SAP Analytics Cloud for real-time data processing, predictive analytics, and cognitive automation while maintaining end-to-end data security and compliance. In healthcare, it enables intelligent patient data management, clinical workflow optimization, and automated claims processing through ML-based insight generation. In digital banking, the system supports advanced fraud detection, adaptive credit scoring, and customer-centric financial analytics driven by deep neural models. Cross-domain integration is achieved using secure API gateways, blockchain-enhanced data governance, and federated learning mechanisms for privacy-preserving analytics. This AI-SAP ecosystem establishes a unified data intelligence layer, allowing seamless interoperability, operational resilience, and strategic decision-making across industries. The outcome is a scalable, ethical, and intelligent infrastructure that bridges healthcare and finance, supporting real-time business intelligence and value-driven innovation.
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