Cognitive Cloud-Native Banking Ecosystem: AI-Powered Deep Neural Networks and Quantum SAP Integration for Reliable Financial Operations
DOI:
https://doi.org/10.15662/IJARCST.2025.0806012Keywords:
AI-Powered Banking, Cloud-Native Architecture, Deep Neural Networks, BERT Models, Quantum-Optimized SAP, Financial Intelligence, Quality Assurance, Intelligent Automation, Natural Language Processing, Predictive Analytics, Risk Management, Cloud Computing, FinTech Innovation, Software Reliability, Cognitive Banking EcosystemAbstract
The evolution of digital banking demands advanced intelligence, scalability, and trust in automated financial systems. This paper presents an AI-powered cloud-native banking ecosystem that integrates Deep Neural Networks (DNNs), Bidirectional Encoder Representations from Transformers (BERT), and Quantum-Optimized SAP frameworks to achieve intelligent, reliable, and quality-assured financial operations. The proposed architecture leverages cloud-native microservices and containerized deployment to ensure scalability, interoperability, and resilience within heterogeneous banking environments. BERT-based Natural Language Processing (NLP) modules enable contextual understanding of financial documents, customer interactions, and compliance reports, while deep neural models enhance fraud detection, credit scoring, and risk forecasting accuracy. The Quantum-optimized SAP layer accelerates data analytics and transactional performance, offering high-throughput financial computation and real-time decision support. Furthermore, the incorporation of AI-driven quality assurance (AI-QA) ensures the reliability, transparency, and ethical compliance of automated processes across the financial workflow. Experimental evaluations demonstrate improved data accuracy, operational efficiency, and model explainability within complex financial ecosystems. This research establishes a next-generation framework for intelligent, cloud-native banking transformation, uniting AI, quantum computing, and software quality assurance to redefine digital financial operations with enhanced performance, trust, and interpretability.
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