Integration of AI in Data Science: A Systematic Review

Abstract

This review paper discusses how Artificial Intelligence (AI) has been incorporated in data science and how it has influenced contemporary data-driven operations. It examines the important AI methods, such as machine learning, deep learning, natural language processing, and computer vision, and their use in different industries. The review points out the advantages of AI, including increased accuracy, automation, and scalability, and covers the issues of data quality, bias, and ethical issues. Moreover, it also talks about the future tendencies and research focus that contributes to the discipline. In general, the article focuses on the revolutionary application of AI in the improvement of data science and its use in making wise decisions.