Your guide to moving models from the classroom to the real world. Click any model to see deployment options, real industry examples, and what exactly gets "shipped."
When you decide how to deploy a model, you're answering PAIR questions: Prediction — What does the model output? (a score, a class, a cluster label, a forecast). Action — What business action does the output trigger? (approve/deny, send a coupon, flag for review). Impact — What's the dollar value or KPI improvement? (reduced churn by 12%, saved $2M in fraud losses). Risk — What happens when the model is wrong? (false decline on a good customer, missed fraudulent transaction). The deployment method you choose should match the speed of the action and the cost of the risk. Edge deployment adds two more questions: Can the data leave the device? (privacy/regulation) and Is connectivity guaranteed? (if not, the model must run locally).