By automatically cataloging the development lifecycle as a side effect of theteams' work.
By easily discovering and learning from the work throughout the full AI/ML development lifecycle.
By cataloging all the model assets into a repository so that standardized reports provide visibility into the AI/ML development lifecycle.
By defining and enforcing consistent methodologies and workflows for AI/ML projects.