Start With the Deployment Decision
Frame an AI-for-data-science project around the deployment decision, success threshold, and action owner before modeling.
The first data science deliverable is not a model. It is a decision that a model could improve. CRISP-DM starts with business understanding because evidence only earns value inside a business choice. For AI work, that means naming the decision before choosing data, features, algorithms, or evaluation metrics. If the decision is fuzzy, every later technical artifact becomes easier to debate and harder to use. Name the actor Who will act on the output? A sales VP, fraud analyst, product manager, and support lead need different outputs even when they use the same dataset. Name the action Write the move…
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