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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Scalable AI and data processing strategies for hybrid cloud environments

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  • Scalable AI and data processing strategies for hybrid cloud environments

Dhruvitkumar V Talati *

Independent Researcher, USA.
 
Review Article
World Journal of Advanced Research and Reviews, 2021, 10(03), 482-492
Article DOI: 10.30574/wjarr.2021.10.3.0289
DOI url: https://doi.org/10.30574/wjarr.2021.10.3.0289
 
Received on 18 May 2021; revised on 20 June 2021; accepted on 23 June 2021
 
Hybrid cloud infrastructure is increasingly becoming essential to enable scalable artificial intelligence (AI) as well as data processing, and it offers organizations greater flexibility, computational capabilities, and cost efficiency. This paper discusses the strategic use of hybrid cloud environments to enhance AI-based data workflows while addressing key challenges such as latency, integration complexity, infrastructure management, and security. In-depth discussions of solutions like federated multi-cloud models, cloud-native workload automation, quantum computing, and blockchain-driven data governance are presented. Examples of real-world implementation case studies in industries including healthcare, retail, finance, and manufacturing are provided to prove the real benefit of hybrid cloud adoption. New trends like explainable AI (XAI), automated machine learning (AutoML) and federated learning are also discussed here as key enablers of future hybrid cloud expansion.
 
Hybrid Cloud Computing ; AI-Driven Cloud Solutions; Machine Learning (ML); Artificial Intelligence (AI); Cloud Computing Architectures; Data Processing Optimization; Scalable AI Workflows; Cloud Migration Strategies
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2021-0289.pdf

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Dhruvitkumar V Talati. Scalable AI and data processing strategies for hybrid cloud environments. World Journal of Advanced Research and Reviews, 2021, 10(3), 482-492. Article DOI: https://doi.org/10.30574/wjarr.2021.10.3.0289

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