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- CPMAI is explicitly iterative because AI projects are data-centric and exploratory; what a team learns during Data Understanding, Data Preparation, or Model Evaluation often forces a return to an earlier phase (for example, refining the business question or gathering more data). This iterative looping, combined with small projects that deliver rapid ROI, is a core differentiator of CPMAI from traditional waterfall methods.