This TDWI snapshot report examines why many organizations remain stuck between AI experimentation and full-scale execution. While over 60% of leadership teams understand AI’s strategic importance, only 30% report having mature data governance plans, and 18% admit to significant ungoverned data silos. The report highlights a gap between enthusiasm for generative AI tools and operational readiness, noting that only 20% have deployed AI using company data in production. It identifies governance, data trust, stakeholder engagement, and production scaling as the primary bottlenecks. The report concludes that AI success depends less on model capability and more on operational maturity, cross-functional accountability, and disciplined implementation.

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