Production MLOps at GS Caltex with Amazon SageMaker Canvas, part 1 | Amazon Web Services
GS Caltex connects Amazon SageMaker Canvas to Amazon SageMaker Pipelines so process engineers' no-code models run in production. This post shows how ML engineers reuse validated preprocessing flows and models, cutting deployment from about a week to a few hours and running batch inference every 30 minutes.
Amazon Web Services ยท https://www.facebook.com/amazonwebservices
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure