Guide · from Informatica
Architect the future: A blueprint for intelligent data platforms in the AI era
Data platforms, adept at managing data complexities and facilitating operational needs, serve as indispensable tools for AI and GenAI success.

- Format
- Guide
- Published by
- Informatica
- Category
- Data Management & Analytics
- Added
- 8 Jun 2026
About this guide
Data platforms, adept at managing data complexities and facilitating operational needs, serve as indispensable tools for AI and GenAI success.
With the right data platform, you can take advantage of innovative data management capabilities, including data discovery, data cataloging, data ingestion, data integration and more.
Discover how to architect intelligent data platforms in the AI era with this handy infographic. You’ll learn:
- The inner workings of an intelligent data platform blueprint
- How to build state-of-the-art data platforms for AI success
- Top benefits of intelligent data platforms
Listen or skim
Summaries are generated from this page’s text. Read the full piece for the detail.
More from Informatica
All 7 →
Revolutionizing data: The triad of AI, DataOps and MLOps
As the rise of data at scale intensifies, it’s critical to unlock its full potential to transform enterprise operations. This is no easy feat given 80% of CIOs have reported falling short in realizing the anticipated

The CIO’s AI checklist: 5 quick-win strategies
With 68% of CIOs responsible for revenue-generating initiatives and the artificial intelligence (AI) market set to grow by more than 13X over the next decade, IT leaders must charge ahead in the AI era. Start leading

Unlock Your Company’s Potential With Data-Driven Growth
Your business data is more than just numbers; it's a goldmine of opportunities waiting to be explored. Learn 5 unique strategies that are designed to transform how you utilize this vital asset, driving substantial
Elsewhere in Data Management & Analytics
See the category →
The Essential Guide to Data Sharing
The ability to share data quickly and securely, both inside and outside an organization, is mission-critical to success in the age of AI. However, traditional methods for data sharing can be cumbersome, resulting in

How to Knit Your Data Mesh on Snowflake
Stung by organizational bottlenecks and data governance shortfalls, companies in all industries are choosing data mesh to decentralize data management and improve data agility.

7 Snowflake Reference Architectures for Application Builders
Data application developers need a data stack architecture with built-in scalability and connectivity. A cloud data platform delivers the performance and nearly infinite autoscaling needed to launch and scale