Intelligent and Secure SAP AI Solutions for Optimized Cloud Network Performance in Healthcare and Digital Advertising
DOI:
https://doi.org/10.15680/IJCTECE.2023.0606023Keywords:
SAP AI, Cloud Network Optimization, Intelligent Systems, Healthcare Informatics, Digital Advertising Analytics, Network Security, Enterprise Cloud ComputingAbstract
The rapid adoption of cloud-based enterprise platforms has increased the demand for intelligent, secure, and high-performance network infrastructures, particularly in data-intensive domains such as healthcare and digital advertising. This paper presents an intelligent and secure SAP AI–driven solution for optimizing cloud network performance while ensuring data privacy, regulatory compliance, and operational efficiency. The proposed framework integrates SAP Business Technology Platform (BTP), AI-enabled analytics, and secure cloud networking mechanisms to dynamically monitor, predict, and optimize network traffic, latency, and resource utilization. Machine learning models are employed to analyze real-time and historical network data, enabling proactive congestion management, adaptive bandwidth allocation, and anomaly detection. In healthcare environments, the solution enhances secure data transmission for electronic health records and telemedicine applications, while in digital advertising it improves campaign delivery, real-time bidding performance, and audience analytics. Security is reinforced through AI-assisted threat detection, policy-driven access control, and encrypted data flows across multi-cloud environments. Experimental analysis demonstrates improved network efficiency, reduced latency, and enhanced security resilience compared to traditional cloud network management approaches. The proposed SAP AI-based solution offers a scalable and future-ready architecture for intelligent cloud network optimization across mission-critical industries.
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