AI-Driven Data Analytics in Information Sciences and Organizational Management

AI-Driven Data Analytics in Information Sciences and Organizational Management

Copyright: © 2024 |Pages: 17
DOI: 10.4018/979-8-3693-1058-8.ch002
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Abstract

The integration of many technologies has led to the emergence of a rapidly evolving discipline known as ‘AI-driven data analytics.' This enables both information scientists and organisational managers to effectively derive practical insights from intricate datasets by using machine learning algorithms, natural language processing, and data mining techniques. This encompasses an examination of machine learning algorithms and their function in revealing patterns and associations in data, along with the importance of natural language processing in extracting insights from unstructured textual data. AI-powered data analysis and visualisation and facilitates predictive analytics—all while augmenting the transmission of intricate data via interactive visual representations—are analysied. This chapter presents a thorough examination of the transformational potential of artificial intelligence (AI) in the field of data analytics. It highlights the dynamic characteristics of AI and emphasises the boundless opportunities it presents in the contemporary digital era.
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The Symbiotic Relationship Of Ai And Data Analytics

The convergence of Artificial intelligence with data analytics signifies a dynamic and swiftly progressing domain that stands at the forefront of technological advancement. The integration of these two revolutionary realms has the potential to redefine sectors, reshape corporate strategies, and improve decision-making processes (Vernadat et al., 2018). It aims to reveal the many ways in which they cooperate to facilitate the emergence of a new age characterised by the pursuit of excellence via data-driven approache (Gupta et al.,2023).

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