Sustainable data management and governance using AI
1 Manager Data Engineering, Discover Financial Services, USA.
2 Principal Product Owner, Discover Financial Services, USA.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(02), 264–274.
Article DOI: 10.30574/wjaets.2024.13.2.0551
Publication history:
Received on 30 September 2024; revised on 11 November 2024; accepted on 13 November 2024
Abstract:
In the digital era, sustainable data management and governance have become paramount as organizations grapple with increasing volumes of data and stringent regulatory requirements. This article explores the transformative role of Artificial Intelligence (AI) in enhancing sustainable data management practices. We examine how AI technologies, including machine learning and natural language processing, support data governance frameworks by automating compliance monitoring, improving data quality, and managing risks. The article highlights the benefits of AI-driven approaches, such as energy efficiency, resource optimization, and environmental impact reduction. Through real-world case studies, we illustrate successful AI implementations and the lessons learned, addressing challenges and solutions encountered during these processes. Looking forward, we discuss emerging AI technologies, predictions for the future, and their potential impact across various industries. The article underscores the importance of adopting AI for sustainable data practices and calls for organizations to integrate ethical considerations into their AI-driven governance models to achieve both operational efficiency and responsible data stewardship.
Keywords:
Artificial Intelligence (AI); Compliance Monitoring; Data Governance; Data Quality; Sustainable Data Management
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0