Ad

NexTalk

Automate the first reply. Keep the human touch.

Live chat with AI agents on your own model and API key, with handoff to your team.

Start free

Production MLOps at GS Caltex with Amazon SageMaker Canvas, part 1

4h

Age

Published
Collected

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.

Excerpt from the source

GS Caltex uses Amazon SageMaker Canvas and Amazon SageMaker Pipelines to connect process engineers’ models to production workflows. The South Korean energy and chemical company divides model development and operations between engineers with complementary skills. Process engineers build and validate models in SageMaker Canvas without writing code, drawing on their process knowledge. Machine learning (ML) engineers configure SageMaker Pipelines workflows for deployment and scheduled inference.…

overfeed.news indexes and links. We publish a short excerpt — the full article stays at AWS Machine Learning Blog.

Log in to follow this source
Production MLOps at GS Caltex with Amazon SageMaker Canvas,…