Artificial Intelligence and Machine Learning for Intelligent Data Analytics: Current Trends, Challenges, and Future Directions in Healthcare, Cybersecurity, Blockchain, and Supply Chain Systems

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the landscape of modern data analytics, facilitating intelligent, automated, and data-driven decision-making across various industries.AI and ML are transforming the way modern data is analyzed, by allowing for intelligent, automated and data-driven decision-making in many different areas. This review delves into their use in healthcare, cybersecurity, blockchain, predictive analytics, and supply chain management, offering insights into their ability to enhance precision, streamline processes, and provide timely insights. AI powered systems enable a range of applications such as disease diagnosis, threat detection, secure data sharing, forecasting, and logistics optimization. While these advantages are notable, obstacles like data quality problems, privacy concerns, algorithmic bias, and computational challenges are still formidable hurdles. New technologies such as generative AI, federated learning and explainable AI are overcoming these challenges. In conclusion, AI and ML are transforming data analytics into a more intelligent and adaptive field.