This white paper explains how organizations must rethink information architecture to meet modern demands shaped by AI, automation, and rapidly expanding data volumes. Page 1 frames the shift toward intelligent information management, where context, structure, and governance enable higher-value outcomes. It highlights challenges of fragmented systems, poor metadata, and siloed processes, and outlines a strategy centered on connected repositories, automation, and AI-enhanced insight extraction. Visuals underscore the transition from traditional content management to adaptive architectures that support decision-making, compliance, and operational agility across the enterprise.

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