Shukkoor, Simi Abdul (2025) Human-AI collaboration in decision-making. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 2434-2440. ISSN 2582-8266
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Abstract
The convergence of artificial intelligence and cloud computing represents a transformative paradigm in organizational decision-making, fundamentally reshaping technological capabilities across diverse industries. This article reveals how advanced computational architectures enable organizations to transcend traditional constraints, creating intelligent systems that can process complex datasets, generate nuanced insights, and provide adaptive decision support. By integrating sophisticated machine learning algorithms with scalable cloud infrastructures, businesses can develop more responsive, precise, and strategically intelligent methods to data analysis, challenge resolution, and operational optimization. The article examines cloud-powered AI decision support systems, decision-making enhancement mechanisms, industry-specific applications with a particular focus on healthcare, challenges including transparency and privacy concerns, and emerging technological frontiers that promise to further revolutionize AI capabilities.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.1.0498 |
Uncontrolled Keywords: | Artificial Intelligence; Cloud Computing; Decision Support Systems; Machine Learning; Technological Innovation |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:20 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3290 |