The digital revolution has led to an unprecedented explosion of data generated from diverse sources such as social media platforms, Internet of Things (IoT) devices, enterprise systems, healthcare records, financial transactions, and mobile applications. This massive volume of data, known as Big Data, presents both opportunities and challenges for organizations. Traditional data analytics techniques are insufficient to process and analyses such complex, high-speed, and heterogeneous data. Artificial Intelligence (AI) has emerged as a powerful solution that enhances Big Data analytics through intelligent learning, automation, and advanced prediction capabilities. This research paper provides an in-depth study of the future of AI-driven Big Data analytics. It explores the integration of AI techniques such as machine learning, deep learning, and natural language processing with Big Data frameworks. The paper discusses system architecture, research methodology, real-world applications, benefits, challenges, ethical considerations, and future trends. The study concludes that AI-driven Big Data analytics will be a cornerstone of intelligent decision-making and digital transformation in the coming years.
Shivajirao et al. (Fri,) studied this question.
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