AI-Driven SAP-Centric Cloud-Native Enterprise Architecture for Predictive Analytics Secure Data Integration and Digital Transformation
DOI:
https://doi.org/10.15662/IJARCST.2025.0803014Keywords:
Artificial Intelligence, SAP Architecture, Cloud-Native Systems, Predictive Analytics, Secure Data Integration, Digital Transformation, Enterprise Architecture, Machine Learning, Data GovernanceAbstract
Artificial Intelligence (AI) has become a transformative force in modern enterprise environments, enabling organizations to derive actionable insights, automate decision-making, and enhance operational efficiency. When integrated with enterprise resource planning systems such as SAP and deployed through cloud-native architectures, AI provides significant opportunities for predictive analytics, secure data integration, and large-scale digital transformation. This study explores an AI-driven SAP-centric cloud-native enterprise architecture that leverages modern technologies such as microservices, containerization, machine learning models, and secure data pipelines. The proposed architecture aims to enable real-time data processing, predictive intelligence, and seamless integration across heterogeneous enterprise systems.
Artificial Intelligence (AI) has become a transformative force in modern enterprise environments, enabling organizations to derive actionable insights, automate decision-making, and enhance operational efficiency. When integrated with enterprise resource planning systems such as SAP and deployed through cloud-native architectures, AI provides significant opportunities for predictive analytics, secure data integration, and large-scale digital transformation. This study explores an AI-driven SAP-centric cloud-native enterprise architecture that leverages modern technologies such as microservices, containerization, machine learning models, and secure data pipelines. The proposed architecture aims to enable real-time data processing, predictive intelligence, and seamless integration across heterogeneous enterprise systems.
The findings indicate that AI-driven SAP cloud architectures significantly improve data accessibility, business agility, and operational efficiency while supporting enterprise-wide digital transformation initiatives. However, challenges such as integration complexity, high implementation cost, and data governance issues remain critical considerations for organizations adopting such systems.
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