TDWI research shows that data governance remains a top data management priority for 2026, yet most organizations are still stuck in the middle stages of maturity. The rapid growth of AI, new data types, and expanding regulatory demands are redefining what effective governance looks like.

In this half-day TDWI Virtual Summit, expert speakers reveal how to modernize your governance strategy to align with today’s realities. You’ll learn how to balance control with agility, strengthen trust through data quality, and apply new technologies that automate and optimize key processes.

Walk away with your own data governance playbook—a practical framework to improve quality, security, and compliance while advancing toward higher maturity.

Free to Attend – Check out the agenda below!

Topics will include:

• The expanding role of metadata in supporting BI, AI, and analytics across the enterprise as part of a data intelligence program
• Changing metadata management processes that leverage automation to streamline governance, manage risk, and foster trust
• How metadata and universal semantic layers enable BI, AI, and self-service to spread across the enterprise
• Data observability and the role of associated metadata in establishing provenance, trust, and confidence in information resources
• The benefits of AI-enabled tooling such as data catalogs, semantic layers, observability platforms, and quality management tools