The application and challenges of artificial intelligence and big data in different fields
Research Article
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The application and challenges of artificial intelligence and big data in different fields

Zhenan Liu 1*
1 New York University
*Corresponding author: Lzn13682248226@163.com
Published on 4 August 2025
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AEI Vol.16 Issue 8
ISSN (Print): 2977-3911
ISSN (Online): 2977-3903
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Abstract

In the context of rapid digital transformation, artificial intelligence (AI) and big data have become pivotal forces reshaping decision-making processes across industries such as healthcare, finance, retail, manufacturing, and transportation. This paper investigates the integration of AI and big data, aiming to explore their combined impact on organizational efficiency and predictive accuracy. The research adopts a comprehensive literature review methodology, analyzing scholarly articles, industry reports, and real-world applications to evaluate how these technologies are applied, the challenges they present, and future directions. Through this method, the study identifies key trends in the deployment of AI-powered analytics, including predictive modeling, personalized services, and automated operations. It also addresses critical issues such as ethical concerns, data security, and scalability. The findings suggest that while AI and big data significantly enhance operational performance, their responsible implementation requires robust frameworks for fairness, transparency, and privacy protection. This study concludes by emphasizing the need for collaborative efforts among governments, academia, and industry to ensure equitable access and sustainable technological advancement.

Keywords:

artificial intelligence, big data, decision-making, industry applications

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Liu,Z. (2025). The application and challenges of artificial intelligence and big data in different fields. Advances in Engineering Innovation,16(8),13-17.

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Cite this article

Liu,Z. (2025). The application and challenges of artificial intelligence and big data in different fields. Advances in Engineering Innovation,16(8),13-17.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Journal: Advances in Engineering Innovation

Volume number: Vol.16
Issue number: Issue 8
ISSN: 2977-3903(Print) / 2977-3911(Online)