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Data and Governance Gaps Delay AI Progress
May 16, 2025
AI and analytics are priorities, but most CIOs can’t scale them yet. Discover the hidden data gaps—from poor integration to weak governance—stalling progress and how to overcome them.
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While AI and analytics are high on the agenda, many organisations aren’t ready to scale them. Fragmented data architectures, weak integration, and immature governance are holding back progress. With half of CIOs still stuck in pilot or early analytics stages, foundational gaps, like incomplete policies, lack of real-time processing, and limited platform unification, are proving to be major roadblocks. To move beyond experimentation, organisations must first build strong, cohesive data foundations.
Core Insights:
- Data fragmentation is stalling AI progress, with hybrid environments and poor integration limiting scalability.
- Governance and control gaps persist, with many organisations lacking mature frameworks for data security and compliance.
- Without strong foundations, including unified platforms and real-time data capability, AI will remain stuck in pilot mode.