Integrated Artificial Intelligence Cloud DevOps and Enterprise Networks for Digital Banking Credit Risk and Healthcare Systems

Abstract

The integration of Artificial Intelligence (AI), cloud computing, DevOps practices, and enterprise networking has revolutionized digital banking, credit risk management, and healthcare systems. Financial institutions and healthcare providers increasingly rely on cloud-native architectures to deliver scalable, secure, and data-driven services. AI-driven analytics enhance credit scoring, fraud detection, predictive diagnostics, and operational automation, while DevOps accelerates continuous integration and deployment across distributed cloud environments. Major cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud provide integrated AI and DevOps toolchains that support high-performance enterprise networks.
Enterprise networking technologies, including software-defined networking (SDN) and zero-trust security frameworks, enable secure communication, real-time data processing, and regulatory compliance across digital ecosystems. In banking, AI improves credit risk modeling and transaction monitoring, while in healthcare, it enhances patient data analytics and clinical decision support systems.
This research explores architectural integration strategies, governance frameworks, performance evaluation metrics, and security considerations necessary for implementing AI-cloud-DevOps enterprise networks. The study proposes a structured methodology to assess scalability, resilience, cybersecurity effectiveness, and regulatory compliance across financial and healthcare environments.