Whitepaper · from 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.
- Format
- Whitepaper
- Published by
- Informatica
- Category
- Data Management & Analytics
- Added
- 8 Jun 2026
About this whitepaper
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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