A Cloud-Native AI-Driven Enterprise Architecture Supporting Intelligent Operations Organizational Resilience and Data-Driven Decision Making with SAP Integration

Leonardo Samuel Moura

doi:10.15662/IJRAI.2022.0502004

Authors

Leonardo Samuel Moura Independent Researcher, Brazil Author

DOI:

https://doi.org/10.15662/IJRAI.2022.0502004

Keywords:

Cloud-native architecture, Artificial intelligence, Enterprise systems, SAP integration, Organizational resilience, Data-driven decision making, Predictive analytics, MLOps, Digital transformation

Abstract

Enterprises are increasingly adopting cloud-native architectures and artificial intelligence to modernize legacy systems, improve operational efficiency, and enhance organizational resilience. At the same time, SAP-based enterprise landscapes continue to play a critical role in core business operations such as finance, supply chain, logistics, and human resources. This paper proposes a cloud-native, AI-driven enterprise architecture that integrates SAP platforms with modern technologies including MLOps, predictive analytics, software-defined infrastructure, and real-time data processing. The proposed architecture enables intelligent operations, supports organizational resilience, and facilitates data-driven decision making across enterprise functions. By leveraging SAP integration, cloud-native services, and machine learning-driven insights, organizations can improve business process agility, system reliability, and analytical capabilities. The study highlights architectural components, integration patterns, and operational benefits while discussing performance, scalability, and resilience considerations in large-scale enterprise environments.

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