ABSTRACT
The primary function of Big Data analytics is the storage and processing of data. The term Artificial Internet of Things (AIoT) refers to the intelligent network that links together people, data, objects, and processes. The purpose of this chapter is to investigate the existing frameworks for handling Big Data concepts and their analytics in the development of AIoT networks. Big Data is based on information acquired from several sources, including sensor nodes installed in intelligent things, network devices, and users. Data need predictive analysis, planning, and management. Precise data are used to control the surrounding environment. However, as automation improves, Big Data handling is a significant issue. This chapter proposes a Big Data analytics model to handle AIoT networks by using data pre-processing, classification, and prediction methods. This chapter also provides a comprehensive look at how Big Data analytics can be applied to the task of creating a better AIoT network. In addition, this chapter briefly examines the many fascinating Big Data analytics possibilities for AIoT networks that might transform society. The chapter concludes with AIoT and Big Data analytics research prospects and challenges.
