Sustainable data management and governance using AI
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.
Authors
- Divya Parmar (ORCID: https://orcid.org/0000-0002-7979-3140)
- Pankaj Gupta (ORCID: https://orcid.org/0009-0007-2534-7616)
Publication Details
- Journal
- World Journal of Advanced Engineering Technology and Sciences
- Published
- 2024-11-20
- DOI
- https://doi.org/10.30574/wjaets.2024.13.2.0551
- Citations
- 12
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 6.34