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What’s Driving the Great AI Re-Architecture

As organizations scale AI across their operations, many are discovering that traditional data architectures are not fully equipped to handle the demands of modern AI. Workloads are becoming more distributed, data is moving between environments more frequently, and leaders are finding themselves under heightened pressure to balance real business impact with AI spend.

This shift has sparked a new stage in the evolution of AI: The Great AI Re-Architecture. Based on a global survey of enterprise architects, cloud infrastructure leaders, and data architects, this report examines how organizations are adapting their data strategies to support AI at scale.

Read the report to learn:

  • How AI is fundamentally changing the way enterprises manage data

  • The driving forces behind the Great AI Re-Architecture and how enterprise data architecture is changing

  • How governance and compliance challenges hinder AI initiatives at scale

  • Why more organizations are leaning on hybrid strategies for modern AI workloads

  • What enterprise leaders are doing to build flexible, AI-ready data foundations for the future

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