Intelligent Cloud Native Platforms for Financial Governance Supply Chain Resilience and Real Time Business Operations
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Abstract
The increasing complexity of global business ecosystems has intensified the need for intelligent, scalable, and resilient digital infrastructures capable of supporting financial governance, supply chain resilience, and real-time business operations. Intelligent cloud-native platforms have emerged as a foundational enabler for enterprises seeking to modernize legacy systems and achieve agility, observability, and operational continuity. These platforms leverage microservices architecture, containerization, orchestration systems, serverless computing, and AI-driven automation to deliver highly adaptive and distributed enterprise capabilities. In financial governance, cloud-native systems enhance transparency, automate compliance monitoring, and strengthen risk management through real-time data analytics and policy enforcement. In supply chain operations, they enable end-to-end visibility, predictive disruption handling, and dynamic resource optimization across global networks. Furthermore, real-time business operations benefit from continuous data streaming, event-driven architectures, and intelligent decision automation. However, challenges related to data security, regulatory compliance, interoperability, vendor dependency, and system complexity remain significant. This study explores how intelligent cloud-native platforms support financial governance, supply chain resilience, and real-time operational efficiency within modern enterprises. A qualitative research methodology based on systematic literature review and conceptual synthesis is applied. Findings indicate that integrating cloud-native principles with AI-driven intelligence significantly enhances enterprise resilience, governance accuracy, and operational responsiveness. The study concludes that intelligent cloud-native platforms represent a critical evolution in enterprise digital transformation strategies
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