Amazon SageMaker (SM)is a fully-managed service that enables data scientists and developers to build quickly, train, and deploy machine learning models at scale.
In Skai, SM is used across all ML projects. However, SM is not an ML platform but a collection of building blocks that requires some heavy lifting to develop and deliver an ML project.
In Skai we use SM in production for several products, usually for products that involve both Development and Data Science teams' code.