Visibility: Do you know what data you have, where it lives, and who touches it?
Security: Is sensitive data classified and protected before it feeds a model?
Resilience: Can you recover clean data quickly after an attack?
AI readiness: Is your data accurate, governed, and usable for AI right now?
Inside, you'll find the gaps that show up most often as AI adoption scales, what separates the leaders from the laggards, and the practical steps IT teams take to close them.
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