Integration of Artificial Intelligence and Big Data Analysis: Towards a Smarter Decision-making Policy

Abstract

This study examines the relationship between artificial intelligence also it's checking the integration with other technologies. This research aims to explore the complementary relationship between artificial intelligence (AI) and big data analytics, analyzing how each can benefit from the other to enhance the accuracy of analyses, decision-making, and the extraction of broadly applicable insights. The research relied on a descriptive methodology through a review of previous literature and practical applications in sectors such as healthcare, finance, e-commerce, and smart cities. The current era is witnessing a massive surge in the volume of data generated from various sources, posing a significant challenge in extracting valuable insights from it. This research explores how artificial intelligence technologies, such as deep learning and machine learning, can be integrated with big data analytics systems to address these challenges. This study seeks to improve data processing efficiency, increase the accuracy of predictive models, and enable intelligent, real-time decision-making. Through a systematic analysis of the latest literature, the research highlights the anticipated benefits of this integration and discusses the associated technical, legal, and ethical challenges, such as privacy, transparency, and energy consumption