Enhancing Enterprise GenAI with MDM and Data Governance

This webinar is designed for the data stewards, data and AI engineers, solution architects, business users, technical users. The session will cover how metadata, reference data, and master data enhance the performance and accuracy of enterprise generative AI models. We will explore how GenAI can improve data management through metadata enrichment and unstructured data scanning. Additionally, the webinar will introduce emerging AI governance features such as model governance, risk management, and policy-as-code enforcement using data catalog policy assets. Practical compliance scenarios, including GDPR pseudonymization, and real-world use cases integrating MDM with GenAI will also be discussed. By the end of the webinar, you will have a solid understanding of how strong data management practices support trustworthy and effective GenAI deployments. You will learn about the latest AI governance tools and best practices for automating risk and compliance management, including metadata-driven policy enforcement. You will gain valuable insights from real-world examples and be prepared to leverage integrated capabilities such as CDGC, MDM, and intelligent IDMC features to enhance your enterprise GenAI architecture and governance strategy.