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Intelligent Data Governance Frameworks : A Technical Overview

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  • Babita Kumari

Abstract

This comprehensive article explores the transformative potential of AI-driven data governance frameworks in addressing modern data management challenges. The article examines the limitations of traditional governance methods in the face of exponential data growth, regulatory complexities, and diverse data sources. It delves into the architecture, core components, and benefits of intelligent governance systems that leverage advanced AI technologies such as machine learning, natural language processing, and reinforcement learning. The article highlights significant improvements in operational efficiency, compliance accuracy, and data quality achieved through AI-driven solutions. Furthermore, it investigates future directions, including the integration of explainable AI, federated learning, and blockchain technology, while acknowledging the challenges that need to be addressed for widespread adoption.

Suggested Citation

  • Babita Kumari, 2024. "Intelligent Data Governance Frameworks : A Technical Overview," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(6), pages 141-154, November.
    • Handle: RePEc:jbh:ijsrcs:v10:y2024:i6:id:402
    DOI: 10.32628/CSEIT24106161
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT24106161
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