Artificial Intelligence Approaches and Mechanisms for Big Data Analytics: A Systematic Study

Abstract

Recent advances in sensor networks and Internet of Things (IoT) technology have led to the collection of large amounts of data. Searching for this much information requires a more efficient and accurate analysis method. Artificial intelligence (AI) techniques such as machine learning and evolutionary algorithms can provide better, faster and more efficient results in big data. Despite this interest, to the best of our knowledge, there has not been a thorough study of the various artificial intelligence techniques for analyzing big data. Most products in the literature focus on the extraordinary ability of intelligence. Recently, challenges such as security, security, integrity, sustainability and utility have emerged during the development of intelligent systems. As the use of smart technology increases, so do new challenges. Obviously, understanding of issues like security will change as we move from narrow AI to super AI. Also, recent advances in human intelligence cannot take place without considering all the problems in creating intelligent machines.