Artificial Intelligence (AI) Lifecycle

In this video we will outline the AI life cycle and its elements. The AI lifecycle can be thought of in three stages - project scope, building the model, and deploying it to production. The six steps in the typical data science and AI process are explained, including asking the right questions, conducting research, choosing appropriate methods, validating assumptions, testing, and interpreting conclusions. Deployment of machine learning models is discussed, including considerations for when to deploy and different methods of deployment such as on-call systems, on-demand systems, and on-edge systems.