Cognitive Project Management in AI Practice Mode

Community Discussion

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• Chose B0

  - Unlike traditional software where requirements are well defined upfront, AI projects are data-centric and experimental: model performance cannot be guaranteed in advance and depends on the availability and quality of data. This requires multiple iterations of data work, training, and evaluation. CPMAI's iterative methodology exists precisely because this uncertainty makes rigid waterfall planning inappropriate.