Next Generation AI Driven Secure SAP Cloud Architecture with Analytics Automation and Scalability
DOI:
https://doi.org/10.15680/ywnkcf28Keywords:
Artificial Intelligence, Enterprise Architecture, SAP Cloud Systems, Predictive Intelligence, Autonomous Business Operations, Cloud Computing, Enterprise Resource Planning, Machine Learning, Digital, Transformation, Enterprise SecurityAbstract
The rapid evolution of enterprise technologies has significantly transformed organizational information systems, particularly in areas such as enterprise resource planning (ERP), cloud computing, and artificial intelligence. Modern enterprises increasingly rely on cloud-based ERP platforms to manage business operations, integrate data across departments, and enable real-time decision-making. Among these platforms, SAP cloud systems play a crucial role in supporting enterprise operations such as finance, supply chain management, human resources, and customer relationship management. However, traditional enterprise architectures often face challenges related to scalability, security, data integration, and intelligent automation.
This research proposes a next-generation AI-driven enterprise architecture designed to support secure SAP S/4HANA Cloud environments, predictive intelligence, and autonomous business operations. The proposed architecture integrates artificial intelligence, cloud-native infrastructure, advanced data analytics, and automated orchestration mechanisms to create a resilient and intelligent enterprise ecosystem. Machine learning models are incorporated to enable predictive insights, risk detection, and intelligent decision support across business processes.
The framework also emphasizes security, governance, and compliance to protect enterprise data within distributed cloud environments. By combining AI-driven analytics with modern cloud-based ERP systems, organizations can achieve higher operational efficiency, improved decision-making, and scalable digital transformation. The study presents architectural design principles, system integration strategies, and evaluation methods for implementing intelligent enterprise platforms that support autonomous business operations in modern digital enterprises.
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