Analytical Survey of AI Data Analysis Techniques

Abstract

The tasks carried out by humans are automated using artificial intelligence algorithms. The intelligence that AI has given through continuous learning from regularly trained models is the primary reason it is employed in every element and sector. Understanding and analyzing data is the most crucial and difficult task, if there is a lot of it. Data science is also popular right now and deals with complicated problems analytically. The data are broken up into smaller pieces, so that the trends and behaviors may be understood. The handling of vast amounts of data is the main challenge in data science. The processing of enormous amounts of data using various AI algorithms is a subject of intense investigation. The great compute capacity, rapid processing speed, and very effective models required by the AI techniques used for processing enormous volumes of data are necessary to prevent errors in the management of the data. In this study, the various hardware and software resources needed for the handling and analysis of massive amounts of data will be examined. This will also provide more detail on the work that various researchers have done in using AI models for data analytics. Within this chapter, a comparative examination of all the machine learning and deep learning models utilized for data analytics will be critically performed.

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