Intelligent Data Analytics: A Review of AI-Based Approaches

Authors

  • Vidya Devi Oad Indiana Wesleyan University Author

DOI:

https://doi.org/10.70445/gjmdsa.2.2.2025.153-175

Keywords:

Intelligent Data Analytics, AI, Machine learning, Deep learning, Big data, Predictive Analytics, Data Mining

Abstract

Intelligent Data Analytics (IDA) combines artificial intelligence with recent data processing algorithms to discover valuable insights out of big and complex data. The current review of the history of data analytics as the development of traditional statistical tools into modern AI-powered systems reveals the main concepts of machine learning, deep learning, data mining, and big data processing. It talks about major AI-based strategies, applications, tools, across industries, challenges, recent developments, comparative analysis and future trends. IDA enhances decision-making in healthcare, finance, business, cybersecurity, and IoT. With such obstacles as data quality, privacy, and interpretability, new developments keep enhancing efficiency, accuracy, and automation in analytics systems.

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Published

2026-04-16