Adaptive AI-Driven Frameworks for Real-Time Big Data Analytics in Federated Cloud Environments

Abstract

The explosive growth of big data has transformed the various industrial sectors, and that is why the businesses need more and more scalable, efficient, and intellectual solutions. In this scenario of Big Data, Artificial Intelligence (AI) is considered as a significant tool to deal with the manipulation of big data. Comparatively, cloud computing extends a hand to AI by providing a resource-based facility that is able to keep afloat the storage of huge amounts of data. This study focuses on big data management and analytics in cloud environments powered by AI. We address the use of AI technologies such as machine learning, deep learning, and data mining, and also/introducing the concepts of (these technologies) highlighting their role in automation of the processing data, decision-making improvement, and the solution of resource shortages in the systems. We are also going to look at the advantages, challenges, and what the future might look like when we start using AI exclusively or mainly at big data environments based on cloud.