The Impact of Artificial Intelligence on Data Analytics: Opportunities and Challenges
Abstract
Artificial intelligence (AI) has revolutionized the field of data analytics, enabling the automation of complex tasks and the discovery of deeper insights. This review paper explores the integration of AI techniques, such as deep learning, reinforcement learning, and neural networks, into data analytics workflows. It discusses applications in areas like anomaly detection, sentiment analysis, and recommendation systems, while addressing challenges such as model interpretability, computational costs, and ethical concerns. The paper concludes with a discussion of future trends, including the convergence of AI and quantum computing for advanced analytics.
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