This brief examines how widely distributed data across edge, cloud, and on-premises systems prevents organizations from unlocking valuable insights. It explains challenges such as poor visibility, inconsistent formats, duplication, and slow access, which hinder AI and analytics initiatives. The document introduces data fabric architectures as a solution, enabling unified access without physically moving data. Automation, scalability, and governance are emphasized as essential for AI-ready data foundations. By unifying and automating data access, organizations can accelerate decision-making, improve collaboration, and generate more reliable AI-driven insights.

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