Machine Learning CI CD and API Driven Enterprise Systems for Finance Telecom and Healthcare with SAP Cloud and Intelligent Decisions
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806818Keywords:
Machine Learning-Powered CI/CD, API-Driven Enterprise Systems, SAP Cloud Integration, Financial Services, Telecom Microservices, Healthcare Systems, Real-Time Decision Intelligence, DevSecOps Automation, Microservices Architecture, Zero Trust Security, Predictive Analytics, Continuous ComplianceAbstract
The increasing complexity of financial services, telecom microservices, and healthcare systems demands intelligent, automated, and interoperable enterprise architectures. This paper proposes a machine learning-powered CI/CD framework with API-driven enterprise systems to enable SAP cloud integration, enhance operational efficiency, and support accurate real-time decision intelligence across multiple sectors.
The framework leverages automated DevSecOps pipelines, microservices orchestration, and AI/ML models embedded at every stage of the CI/CD lifecycle to optimize build validation, test prioritization, anomaly detection, and deployment risk management. API-driven integration ensures seamless communication across SAP cloud platforms, financial transaction systems, telecom services, and healthcare applications, enabling secure, scalable, and compliant operations.
Real-time data analytics and decision intelligence capabilities support predictive monitoring, fraud detection, resource optimization, and clinical or financial insights with minimal latency. Security is enforced through zero-trust architecture, continuous compliance checks, and AI-driven threat detection, ensuring robust cyber defense across hybrid and multi-cloud environments.
The proposed approach delivers a unified, intelligent, and automated enterprise framework, improving agility, reliability, and decision-making accuracy across SAP-integrated financial, telecom, and healthcare ecosystems
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