Agarwal, Sucheta, Mangla, Sachin Kumar and Ramadani, Veland (2024) Enlightening cases : Utilization of exemplary AI-enhanced research endeavors. In: Utilizing AI Tools in Academic research writing. IGI Global Publishing, pp. 158-170. ISBN 9798369317983
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The aim is to showcase the remarkable achievements of AI-integrated research, illustrating the significant impact of AI has had across various industries and academia. The approach involves gathering case studies and conducting comprehensive analyses, with a specific emphasis on AI-enhanced research initiatives. The findings underscore the value of AI-based methods and tools in guiding research and industry-related tasks. Through the examination of AI-related case studies, academics and business professionals have been able to enhance productivity and organizational performance by effectively implementing AI. The originality of this study lies in its thorough examination of AI's role in research and industries, featuring numerous case examples from diverse disciplines. The integration of AI in industries has become the foundation for case studies and related content/cases used in academia to educate students. This comprehensive approach offers a fresh perspective on the innovation and significance of AI in research and practical applications. By presenting various scenarios, the chapter will explore the societal and practical implications of successful AI-integrated endeavors, emphasizing AI's ability to transform sectors, improve decision-making, and address complex challenges
Item Type: | Book Section |
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Keywords: | AI-integrated research | AI Tools | Academic Writing |
Subjects: | Social Sciences and humanities > Social Sciences > Education Research Social Sciences and humanities > Social Sciences > Social Sciences (General) Social Sciences and humanities > Social Sciences > Education |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Subhajit Bhattacharjee |
Date Deposited: | 08 May 2024 12:59 |
Last Modified: | 30 May 2024 15:15 |
Official URL: | https://doi.org/10.4018/979-8-3693-1798-3.ch010 |
URI: | https://pure.jgu.edu.in/id/eprint/7717 |
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