AI-Powered Modernization of SAP-Centric Core Enterprise Systems for Healthcare and Business in Hybrid and Multi-Cloud Environments

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Filip Joakim Lindqvist

Abstract

The modernization of core enterprise systems has become a strategic imperative for healthcare and business organizations facing increasing demands for scalability, interoperability, regulatory compliance, and operational intelligence. Traditional SAP-centric landscapes often struggle to adapt to hybrid and multi-cloud environments due to rigid architectures, limited automation, and high operational risk. This paper proposes an AI-powered modernization framework for SAP-centric core enterprise systems deployed across hybrid and multi-cloud infrastructures. The framework integrates machine learning–driven workload optimization, intelligent process automation, predictive system monitoring, and cloud-native architectural patterns to enable adaptive, resilient, and secure enterprise operations.
 

By leveraging AI for capacity planning, anomaly detection, performance tuning, and data-driven decision support, the proposed approach enhances system agility while reducing downtime, migration risk, and operational costs. The framework supports seamless interoperability between SAP S/4HANA, SAP Business Technology Platform, and cloud-native services across public and private cloud environments. Experimental evaluation and industry case analysis demonstrate measurable improvements in system performance, resource utilization, compliance readiness, and business continuity. The results indicate that AI-powered SAP modernization provides a scalable foundation for intelligent healthcare and business platforms operating in complex hybrid and multi-cloud ecosystems.

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How to Cite

AI-Powered Modernization of SAP-Centric Core Enterprise Systems for Healthcare and Business in Hybrid and Multi-Cloud Environments. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(5), 12803-12809. https://doi.org/10.15662/IJRPETM.2025.0805017

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