World Models and Data Governance: Revolutionizing Data Management Through Artificial Intelligence

In the current digital era, data governance has become a crucial element for the development of enterprises and society. To address the limitations of traditional data governance methods in handling the rapid growth of data volume, the diversity of data sources, and data privacy and security issues, this paper proposes a data governance framework based on world models and artificial intelligence. By integrating world models with data governance, a modular approach is designed to enhance data processing efficiency and accuracy while optimizing the prediction and decision-making processes. This study introduces a world model-based data governance framework enhancing the intelligence level of data governance. It realizes the application of data governance agents, significantly improving data quality and consistency. Furthermore, the practical applicability of the theoretical model is verified, demonstrating its effectiveness in real business environments.