The Use of Artificial Intelligence in Data Analysis and Business Intelligence

The Use of Artificial Intelligence in Data Analysis and Business Intelligence

Copyright: © 2023 |Pages: 10
DOI: 10.4018/979-8-3693-0418-1.ch020
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Abstract

This chapter provides a comprehensive exploration of the integration of artificial intelligence (AI) in data analysis and business intelligence. It begins by elucidating fundamental AI techniques such as machine learning, natural language processing, and deep learning, showcasing their applicability in deciphering complex datasets. Real-world case studies spanning various industries underscore AI's capacity to unveil patterns, predict trends, and optimize operations. The chapter further delves into AI's role in enhancing business intelligence platforms, facilitating informed decision-making through timely and accurate insights. Ethical considerations and challenges inherent in AI-driven analysis are addressed, emphasizing responsible implementation. Ultimately, the chapter offers a glimpse into future advancements while highlighting AI's pivotal role in reshaping data-driven decision-making processes and fostering innovation in the business realm.
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2. Literature Review

Artificial Intelligence (AI) has emerged as a transformative technology in various industries, and its applications in data analysis and business intelligence have garnered significant attention. This literature review provides an in-depth analysis of the role of AI in data analysis and business intelligence, highlighting key developments, challenges, and future prospects. The review explores the evolution of AI technologies in these domains, the impact on decision-making processes, and the potential for improving business strategies.

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