A Survey on the Convergence of Big Data, Artificial Intelligence and Data Mining_Vol. 3 No. 4 (JBDC 2025)_Journal of Big Data and Computing (ISSN: 2959-0590)

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A Survey on the Convergence of Big Data, Artificial Intelligence and Data Mining

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DOI: https://doi.org/10.62517/jbdc.202501429

Author(s)

Enlai Wang1, Jingbo Liu1, Yufei Zhang1, Xue Liu2

Affiliation(s)

1Henan University of Technology, Zhengzhou, Henan, China 2iFLYTEK Co., Ltd., Hefei, Anhui, China

Abstract

This paper provides a comprehensive study of the convergence of big data, Artificial Intelligence (AI), and data mining, systematically analyzing their inherent logic and arguing that these technologies form a closed-loop, value-creating ecosystem. Big data serves as the foundation, data mining as the bridge, and AI as the ultimate goal. The study proposes a layered technological architecture to support this synergy and explores its transformative applications in various fields such as finance, healthcare, and intelligent recommender systems. The research highlights the enormous potential for improving efficiency and fostering innovation while also identifying key challenges hindering widespread adoption, including data privacy issues, the "black box" nature of complex AI models, algorithmic bias, and ever-increasing computational demands. Finally, the paper discusses future trends, including Automated Machine Learning (AutoML), privacy-preserving computation, and explainable artificial intelligence (XAI), emphasizing the need to balance development processes to reconcile technological progress with ethical governance.

Keywords

Big Data; Artificial Intelligence; Data Mining; Technological Convergence; Intelligent Applications

References

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