发布时间：2026-05-15 10:18 Demands for privacy and sovereignty expose limits of architectures built for centralized and borderless data flows.
Data jurisdiction has become a core design parameter, shifting away from globally integrated systems to regionally bounded architectures.
Organizations that redesign early are gaining a measurable edge in AI readiness and scale.



TOKYO & LONDON--(BUSINESS WIRE)--NTT DATA, a global leader in AI, digital business and technology services, today released new research showing that enterprise AI is outgrowing the architecture and infrastructure beneath it as data privacy and sovereignty requirements tighten. The research finds a widening split between enterprises that are redesigning AI for control, locality and security, and organizations still layering AI into environments that were not built to support these requirements.

For years, enterprise architecture moved data across systems, clouds, applications and borders
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