Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention
CAT
1 min read
This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust […]
Originally appeared here:
Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention
