AI is widening a gap between what organizations want to do with AI and what they can do. The difference? Governance. Organizations stifled by fragmented governance will watch their AI initiatives stall and competitors leave them behind.
But there’s a better way. When you unify governance across your entire data ecosystem — breaking down silos, connecting teams and creating a single source of truth—you unlock Data Confidence. You’re confident that all your data and AI initiatives are fueled by trusted, high-quality data. And you’re accelerating every use case.
The path to Data Confidence isn’t complex. But it requires strategic intention. These four steps form your roadmap:
Step 1: Define the use case
Step 2: Identify and understand data
Step 3: Document models and results
Step 4: Verify and monitor
