Governance is Key to Getting Your Data AI-Ready

As organizations race to harness the power of artificial intelligence, the foundation for success lies not in the models themselves, but in the data that feeds them. This session explores why robust data governance is the critical first step in any AI readiness strategy, covering how to establish data quality standards, ownership, and accountability frameworks that ensure your data is accurate, accessible, and trustworthy when AI systems need it most.

Key Takeaways:

Data governance is an AI prerequisite. Without clear policies for data quality, lineage, and access control, AI models are built on an unreliable foundation that undermines their outputs
You’ll walk away with a real-world AI data readiness checklist, the same one used internally to assess organizational AI readiness, so you can benchmark where your own data stands today