Cross-Industry AI and Cloud Architecture: Leveraging SAP and ML for Smart Healthcare and Financial Ecosystems
DOI:
https://doi.org/10.15662/IJARCST.2024.0706015Keywords:
AI Architecture, Cloud Computing, SAP Integration, Machine Learning, Healthcare Analytics, Banking Intelligence, Predictive Modeling, Cross-Industry InnovationAbstract
The convergence of Artificial Intelligence (AI), Cloud Computing, and Machine Learning (ML) is transforming how industries operate, analyze, and innovate. This study presents a cross-industry architectural framework that integrates SAP Cloud Platform with AI-driven analytics to enhance decision-making, operational efficiency, and customer experience across healthcare and banking sectors. In healthcare, the model facilitates real-time patient monitoring, predictive diagnosis, and data-driven resource allocation, while in banking, it enables intelligent risk assessment, fraud detection, and personalized financial services. By combining cloud-native scalability, SAP’s enterprise integration, and machine learning insights, the proposed architecture supports secure interoperability, regulatory compliance, and automated workflows. The framework demonstrates how cross-domain data analytics can generate holistic intelligence—bridging clinical insights and financial risk management to foster sustainable digital ecosystems. The paper concludes by highlighting implementation strategies, ethical considerations, and future directions for AI-enabled cross-industry innovation
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