Data Analytics and Compliance in Cloud-Machine Learning

Abstract

Data analytics has become one of the most important fields that influence decision-making in multiple sectors including business, healthcare, education and government. It consists of analysing raw datasets to find new measures for decision-making that will help the organization in solving complex problems based on data collected. This chapter delves into the evolution of data analytics, from traditional techniques to the integration of big data and data science. It focuses on the evolution from descriptive and predictive analytics to machine learning and AI-driven methods. In addition, this chapter discusses how big data analytics has changed the different industries and investigates where it is headed in the next few years due to the advancements in IoT, AI and edge computing [ 1–3 ].

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