AI project lifecycle

Great, let us begin developing the recommendation system. You need to assess and mitigate the risks at every stage of the project -

1) Data collection and preparation

2) Model development and evaluation

3) Model deployment and monitoring

You have brainstormed some key questions to assess the associated risks at each stage.