A retail company's data science team is planning a project to deploy a demand-forecasting model. Their AI Transformation Leader wants the team to follow the standard machine-learning lifecycle. After the team has finished collecting and preparing high-quality historical sales data, which stage should immediately follow before the model can be used to serve business predictions?