Informatica

10 data management pillars for AI readiness

Cloud modernization and artificial intelligence (AI) go hand in hand. In fact, 84% of data leaders strongly believe modernizing legacy data infrastructure to the cloud is essential to maximize AI benefits.

To unlock the full potential of AI, fast-forward your cloud journey and look out for key data management capabilities. Get started with this checklist, “Charting AI: 10 Must-Have Data Management Essentials.”

You'll learn data management pillars for AI readiness, including:

  • Data integration, data quality and data governance
  • Data cataloging and metadata management
  • Real-time data processing and scalability

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