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The enterprise mandate is clear: AI is the strategic objective, driving massive investment globally. However, a profound disconnect exists between this ambition and operational reality, creating a great AI paradox. A staggering 60% of executives with stalled AI initiatives cite fragmented data and outdated infrastructure as the primary culprits. This failure isn’t with the AI models or tools; it’s a crisis in the underlying data foundation, rooted in a data quality crisis, architectural bottlenecks, and security blind spots. To break this spell, leading organizations are adopting a Data-First Playbook—a strategy that de-risks and accelerates AI by building a resilient, AI-ready data foundation.