Modern Data Governance – Preparing for AI-Driven Innovation
AI success starts with data. But poor data quality costs businesses up to 25% of revenue, and AI teams spend 60-80% of their time on data preparation. How can you build a data foundation that fuels AI innovation? Download our whitepaper to explore:
- The four pillars of data governance: observability, quality, standardization, and knowledge management.
- How to reduce risk and improve efficiency with AI-ready data.
- AI governance strategies to detect bias and prevent data drift.
