Author:
Otmane Azeroual
Affiliation:
German Centre for Higher Education Research and Science Studies (DZHW), 10117 Berlin, Germany
Keyword(s):
Data Governance, Data Quality, Artificial Intelligence (AI), AI-Powered Framework, Data Integration, Quality Assurance, Data Protection Monitoring, Compliance Management, Digital Transformation, Organizational Efficiency, Case Studies, Practical Applications.
Abstract:
In the modern digital landscape, data plays a crucial role in the competitiveness and efficiency of
organizations. Data governance, which involves managing and ensuring data quality, faces increasing
challenges due to the growing volumes and complexities of data. This paper examines how artificial
intelligence (AI) offers innovative solutions for optimizing data governance and data quality. We present an
AI-powered framework that includes components such as data integration, quality assurance, data protection
monitoring, and compliance management. Through case studies and practical examples, we demonstrate how
this framework can be implemented in real-world environments and the benefits it offers.