The AI execution gap: How your organization can deliver AI success
Nearly half of organisations report delays, underperformance, or failure in their AI initiatives.
This report reveals why organisations continue to struggle with scaling AI and generative AI initiatives and how modern data strategies can close the gap between vision and results.
Based on a global survey of over 400 data leaders and professionals, the report uncovers the root causes of AI execution failure, from integration complexity to pipeline overload and data silos, and provides a path forward for enterprises aiming to unlock AI’s full potential.
Key takeaways include:
- Poor data readiness (not AI itself) is the leading barrier to AI success.
- Integration, scalability, and governance are foundational to AI performance.
- Centralised, automated data movement is critical for reducing costs and accelerating innovation.
- Read the full report to discover how your organization can move from AI ambition to AI impact.
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