Technical Pathways and Application Mechanisms of Artificial Intelligence-Empowered Big Data Analytics
DOI:
https://doi.org/10.71222/ekt02x92Keywords:
Artificial Intelligence, Big Data Analytics, Technical Pathways, Application Mechanisms, Future TrendsAbstract
Artificial Intelligence (AI) has revolutionized the field of big data analytics by enabling advanced technical pathways and application mechanisms. This review paper explores the historical evolution, current methodologies, and future directions of AI-empowered big data analytics. The paper begins with an introduction to the significance of AI in handling large-scale data and its transformative impact across industries. A historical overview traces the development of AI techniques and their integration into big data systems. The core themes focus on technical pathways, including machine learning algorithms, neural networks, and hybrid models, as well as application mechanisms such as predictive analytics, anomaly detection, and decision-making systems. Comparative analyses highlight the strengths and limitations of various approaches, while challenges such as scalability, ethical concerns, and data privacy are critically examined. Future perspectives emphasize emerging trends like quantum computing and explainable AI. The conclusion synthesizes the findings and underscores the importance of interdisciplinary collaboration for advancing AI-driven big data analytics.References
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Copyright (c) 2026 Zice Gao (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
