Exploring AI Techniques in Data Analytics: A Critical Review

Abstract

Artificial Intelligence (AI) has transformed the field of data analytics, which provides an efficient processing, analysis, and interpretation of large and complex data. The review discusses the most popular AI methods including machine learning, deep learning, natural language processing, and reinforcement learning and their implementation in the contemporary analytics systems. It explores its applications in the healthcare sector, finance, marketing, and smart cities, with a focus on enhanced accuracy, scalability, and decision-making. The paper also addresses issues such as data quality, privacy, bias and interpretability. An overview of AI approaches is comparatively analyzed and future trends such as explainable AI and edge computing are discussed. In general, AI is a considerable aid to data-driven decision-making and analytical skills.