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Upgrade Your Data Architecture for AI Breakthroughs: Modernization Requirements, Use Cases, and Principles

Success with artificial intelligence depends on a modern data architecture that integrates bleeding-edge technology with traditional elements to manage, govern, and deliver multi structured data.

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  • how a modern data architecture optimizes the latest technology while leveraging and integrating with traditional elements.
  • how it orchestrates data flows across distributed infrastructure that spans multiple data centers, regions, and/or clouds.
  • why it needs to be integrated, modular, open, governed, AI-assisted, product-oriented, shared, and multimodal.

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Further information

This report defines the modern data architecture, including its adoption drivers, challenges, benefits, must-have characteristics and architectural elements. It concludes by recommending guiding principles for chief data officers and other data leaders to achieve business benefits.

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