The document explains that AI success depends on strong data foundations, clear strategy, and readiness across people, technology, and governance. CEOs feel pressured to accelerate AI adoption, yet major gaps remain in data quality, expertise, and confidence. It outlines maturity models showing how organizations progress in economics, data practices, technology, people, and governance. Achieving AI excellence requires a solid business case, rapid proof-of-concept development, robust data management, democratized skills, real-time analytics, and strong security and compliance practices to ensure trustworthy, scalable AI outcomes.

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