Artificial Intelligence and Data Science: A Comprehensive Review of Applications, Emerging Trends, and Challenges across Multiple Domains

Abstract

In the era of Artificial Intelligence (AI) and data science, they are revolutionizing various fields with their intelligent automation, predictive analytics, and data-driven decision-making capabilities. This review covers the basic concepts, new techniques and applications in healthcare, agriculture, manufacturing, finance, business management, education, and public administration. It delves into the realms of machine learning, deep learning, big data analytics, real-time processing, and intelligent optimization. In addition, the following technical constraints, data privacy, algorithmic bias, cybersecurity, governance and scalability issues are highlighted. Other current trends, like the use of generative AI, federated learning, and sustainable computing, are also taken into account. The review identifies future research areas to design reliable, ethical, efficient and responsible analytical systems driven by artificial intelligence.