A Review of Integrated Artificial Intelligence and Big Data Analytics Models for Intelligent Decision-Making

Zice Gao

European Journal of AI, Computing & Informatics, 2026, vol. 2, issue 2, 38-46

Abstract: This review paper examines the integration of Artificial Intelligence (AI) and Big Data Analytics (BDA) models for intelligent decision-making. The study explores historical advancements, core methodologies, comparative analyses, challenges, and future perspectives. By dissecting the synergy between AI and BDA, the paper highlights their combined potential in optimizing decision-making processes across industries. Key themes include the evolution of AI-BDA frameworks, algorithmic innovations, and real-world applications. The paper also delves into challenges such as scalability, data privacy, and ethical considerations, while proposing future directions for research and development. The findings aim to provide a comprehensive understanding of the current state and future trajectory of integrated AI-BDA models.

Keywords: Artificial Intelligence; Big Data Analytics; Intelligent Decision-Making; Integrated Models; Future Perspectives (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:dba:ejacia:v:2:y:2026:i:2:p:38-46

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