Real Time AI and Deep Convolutional Architectures for Cloud Digital Banking Healthcare and Telecom with DevOps and Secure Open Banking APIs
DOI:
https://doi.org/10.15680/jbwmq922Keywords:
Real-Time AI, Deep Convolutional Networks, Cloud Digital Banking, Mobile Healthcare Systems, Telecom Analytics, Cloud-Native DevOps, Secure Open Banking APIs, Cyber Defense, AI-Driven Analytics, Microservices Architecture, Regulatory Compliance, Enterprise Cloud SecurityAbstract
Real-time Artificial Intelligence (AI) and deep convolutional architectures are increasingly central to the transformation of cloud-based digital banking, healthcare, and telecom systems. This paper presents a unified framework that integrates deep convolutional neural networks (CNNs), real-time analytics, and cloud-native DevOps practices to support secure, scalable, and intelligent service delivery across highly regulated domains. The architecture is designed to operate within modern open banking ecosystems, leveraging secure API frameworks and continuous deployment pipelines to enable rapid innovation while maintaining compliance and cyber resilience.
The proposed approach incorporates real-time data ingestion, AI-driven decision engines, and automated DevSecOps workflows to enhance fraud detection, clinical intelligence, and telecom service optimization. Deep convolutional models enable high-accuracy pattern recognition for transaction monitoring, medical image analysis, and network traffic classification, while AI-enhanced DevOps pipelines ensure continuous security validation and performance optimization. Secure open banking APIs and policy-aware access controls facilitate interoperability across financial, healthcare, and telecom platforms, including enterprise deployments built on SAP cloud environments.
By unifying real-time AI, deep learning architectures, and secure cloud-native DevOps, the framework delivers improved operational agility, enhanced cyber defense, and reliable real-time intelligence. The paper demonstrates how cross-domain AI platforms can support next-generation digital services while safeguarding sensitive data and ensuring end-to-end system trust.
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