Artificial Intelligence for Big Data Analytics: A Review of Trends and Challenges
DOI:
https://doi.org/10.70445/gtst.2.2.2026.83-102Keywords:
AI, Big data analytics, Data Processing, Predictive Analytics, Real-time Analytics, Cloud ComputingAbstract
Artificial Intelligence (AI) has played a major role in transforming the field of Big Data analytics because it allows processing and interpretation of large and complex datasets efficiently. This review examines the basics of Big Data, concepts of AI, and how they could be combined to improve the decision-making process based on the data. It identifies automated machine learning, real-time analytics, edge computing, and generative AI as important trends as well as healthcare, finance, smart cities, e-commerce, and cybersecurity. Other significant issues that are addressed in the study are data quality, scalability, privacy, and ethical concerns. Moreover, it examines key tools and technologies and establishes the way of future research. By and large, intelligent decision-making using AI-based Big Data analytics have the potential to provide potent solutions.
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Copyright (c) 2026 Vidya Devi Oad (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.