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Why Speed‑First AI Projects Miss the Mark: 7 Experts Explain the Real Preparation Gap
Introduction Speed-first AI projects miss the mark because they prioritize rapid deployment over foundational preparation, leading to costly misalignments, data quality issues, and governance gaps. The core problem is a false sense of urgency that pushes teams to launch prototypes before the data pipelines, business objectives, and ethical frameworks are