A Comprehensive Review of AI and Machine Learning–Driven Intelligent Data Analytics: Emerging Trends, Challenges, and Future Directions in Healthcare, Cybersecurity, Blockchain, and Supply Chain Systems

In recent years, the field of artificial intelligence (AI) and machine learning (ML) has witnessed significant progress in the ability to draw useful information from massive and intricate datasets by means of intelligent data analytics. This review discusses their use in the healthcare, cybersecurity, blockchain and supply chain systems and brings out the various trends, methodologies and challenges. In various fields, AI/ML technologies boost prediction accuracy, real time decision making and automation. But challenges like data privacy, scalability, interpretability, and integration are still important hurdles. New technologies such as explainable AI, federated learning, and edge computing are driving future advancements. This paper gives a complete new look at the recent developments along with the future directions of intelligent data analytics systems.