The typical AI project life-cycle consists of three key stages: Project Scoping, Design or Build Phase, and Deployment in Production.
Project scoping involves defining the problem, setting objectives, and outlining deliverables.
Design or build phase includes data collection, model development, training, and testing.
Deployment in production means integrating the AI solution into real-world use cases and monitoring its performance.
Data visualization, on the other hand, is a technique used within various stages, especially during data analysis and reporting.
It is not a standalone phase of the AI life-cycle but a supporting task to help interpret and communicate data insights.
Therefore, the correct answer is option (B) — Data visualization is not one of the three main stages.