Building Intelligent Cloud Systems with Machine Learning for Resilient Performance and Advanced Data Analytics
Abstract
The convergence of cloud computing and machine learning (ML) has ushered in a new era of intelligent, resilient, and data-driven systems capable of handling complex workloads and deriving actionable insights. This study explores the design, implementation, and evaluation of intelligent cloud systems powered by ML to achieve high performance, continuous monitoring, and advanced data analytics. Cloud computing provides scalable infrastructure, elasticity, and distributed resources, while ML algorithms enable predictive analytics, anomaly detection, optimization, and adaptive decision-making. Integrating these technologies allows organizations to improve operational efficiency, system reliability, and real-time responsiveness. This research highlights key architectural approaches, model deployment strategies, data management practices, and governance frameworks necessary for building intelligent cloud solutions. The study also evaluates the advantages and disadvantages of combining ML with cloud infrastructures, emphasizing enhanced resilience, predictive capabilities, and automation, alongside challenges such as system complexity, data privacy, and model bias. Findings indicate that ML-powered cloud systems not only improve performance and reliability but also support data-driven decision-making at scale, offering transformative potential for enterprise IT, IoT applications, financial services, healthcare, and large-scale analytics. Recommendations for future research focus on privacy-preserving ML, explainable AI, edge-cloud integration, and adaptive continuous learning for sustained intelligent operations.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
399-407 |
Published |
March 21, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Maura Allen (%2026). Building Intelligent Cloud Systems with Machine Learning for Resilient Performance and Advanced Data Analytics. International Journal of Science, Research and Technology , Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 399-407. https://doi.org/10.15662/IJSRAT.2026.0902011 |
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