This guide shares how CDOs measure AI’s business value by aligning initiatives to outcomes. It recommends picking high-ROI use cases like customer service, efficiency, and revenue growth, defining clear metrics tied to business impact, and evolving measurement across AI’s lifecycle from experimentation to transformation. Leaders stress cross-functional teams, shared language, and creating business “pull” for AI. Success requires balancing intuition and data, reusing models, and continuously reviewing results. A six-step plan includes identifying impact owners, agreeing on metrics, benchmarking, monitoring, using AI-ready platforms, and aligning costs with value.

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