The role of generative AI in oracle database automation: Revolutionizing data management and analytics
Independent Researcher.
Review Article
World Journal of Advanced Research and Reviews, 2019, 04(01), 054–063
Publication history:
Received on 31 September 2019; revised on 22 November 2019; accepted on 26 November 2019
Abstract:
This research article examines the transformative role of Generative AI in Oracle Database Automation, highlighting its potential to revolutionize data management and analytics. As organizations increasingly rely on data-driven decision-making, efficient and effective database management solutions have become paramount. Integrating Generative AI technologies with Oracle Database systems offers significant benefits, including enhanced data processing capabilities, improved accuracy in analytics, and the automation of routine tasks. This article explores the mechanisms of integration, presents case studies of successful implementations, and discusses the challenges organizations may face, such as technical hurdles and data privacy concerns. Additionally, the article identifies future trends in Generative AI and database management, predicting advancements in AI technologies and their implications for data governance and compliance. By providing insights into these areas, this research aims to inform practitioners and researchers about the opportunities and challenges associated with leveraging Generative AI in database automation.
Keywords:
Generative AI; Oracle Database; Database Automation; Data Management; Analytics
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Copyright information:
Copyright © 2019 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0