Artificial Intelligence in Data Science: A Comprehensive Review

Abstract

Artificial Intelligence (AI) has become an integral part of modern-day data science which has changed the way under which data are collected, analyzed, and interpreted. This review delves into the development of AI, the amalgamation of AI with Machine learning, Deep learning, & big data analytics, and its role in automating data workflow. Real-world applications found wherever hospitals, finance, retail stores, manufacturing, etc. AI has showcased the landscape of its ability to provide actionable insights. Despite the many advances, there are still challenges associated with data quality, model interpretability, algorithmic bias, privacy and ethics. The article also focuses on emerging trends such as explainable AI, AutoML and technological convergence that describe the future directions of AI-driven data science.