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

It delves into AI and Machine Learning-powered intelligent data analytics, its applications in healthcare, cybersecurity, blockchain, and supply chain systems, and serves as a catalyst for industry innovation. This review provides an insight into AI and Machine Learning-driven intelligent data analytics and how it is revolutionizing the healthcare, cybersecurity, blockchain, and supply chain systems, all of which are driving innovation in the industry. It emphasizes the power of advanced algorithms that can process large volumes of complex data efficiently, facilitating predictions, decision-making, and automation. The key frameworks, applications, emerging trends, challenges, and future directions are analyzed, to give a comprehensive understanding of the field. The study highlights technologies like deep learning, federated learning, and explainable AI, and explores privacy, scalability, and interpretability concerns. It gives an overview of the state-of-the-art and future research challenges of intelligent data-driven systems.