Nearly half of enterprises report delays, underperformance, or failure in their AI initiatives — despite bold roadmaps and significant investment.

Our new report reveals why organizations 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.
• Centralized, 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.