Question
A phased pilot approach contributes to the successful adoption of AI projects by allowing for testing and improvement in a controlled environment before full-scale adoption. This approach involves iterative development cycles that can reveal both minor adjustments and larger architectural considerations that need refinement. By building checkpoints and criteria into the process, organizations can make informed decisions on whether to iterate further, expand adoption, or place the initiative on hold based on empirical results.
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Another key component of successful deployment is a phased pilot approach to shepherd AI projects from initial feasibility analysis to full-scale adoption. The pilot stage itself emphasizes testing and improvement. Its iterative development cycles will likely reveal both minor tweaks and larger architectural considerations that need refinement. By building checkpoints and criteria into the process, organizations can choose to iterate further, expand adoption, or place the initiative on hold based on empirical results.
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