Comparative Analysis of AI and Machine Learning Applications in Modern Database
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 03
Abstract
Using artificial intelligence (AI) and machine learning (ML) in contemporary database systems is the topic of discussion in this article. It examines a variety of scientific publications that investigate the breakthroughs that have been generated by artificial intelligence in a variety of fields, including agriculture, healthcare, military, and cloud computing. In this assessment, the transformational potential of artificial intelligence is highlighted within the context of improving data management, predictive analytics, decision-making, and automation. In addition, the debate discusses important obstacles, such as concerns about ethical issues, scalability issues, computing needs, and data security. The objective of this in-depth assessment is to provide insights into the continuous progress of AI-powered database systems as well as the consequences that these systems will have in the future.
Authors and Affiliations
Redeer Avdal Saleh , Hajar Maseeh Yasin,
Keywords
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- EP ID EP761770
- DOI 10.47191/etj/v10i03.21
- Views 31
- Downloads 0
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