AI Algorithms in Complex Big Data Environments and Their Deployment in Cloud Architecture

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Published: 2026-05-24
Keywords:
AI algorithms, big data environments, cloud architecture, scalability, predictive analytics

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Bowen Zhao
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Yuting Liu
School of Public Administration, Guangzhou University, Guangzhou, China
Haoran Sun
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China

Abstract

This research article explores the deployment of AI algorithms within complex big data environments, emphasizing their integration into cloud architecture. The study begins with an overview of the challenges posed by big data and the role of AI in addressing these issues. A detailed examination of cloud-based frameworks is presented, highlighting their capacity to facilitate scalable AI solutions. The methodology involves a systematic evaluation of algorithmic performance across diverse datasets, followed by an analysis of computational efficiency within cloud systems. Results showcase significant improvements in data processing speed, accuracy, and scalability. The discussion delves into implications for real-world applications, including predictive analytics and automated decision-making. Finally, the paper concludes by outlining future directions for optimizing AI-cloud synergy.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

AI Algorithms in Complex Big Data Environments and Their Deployment in Cloud Architecture. (2026). Hua Xia Xin Zhi, 2(1), 145-157. https://journals.hubblepress.com/index.php/HXXZ/article/view/36

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