Anuncio

NexTalk

Automatiza la primera respuesta. Mantén el toque humano.

Chat en vivo con agentes de IA en tu modelo y tu clave de API, con traspaso a tu equipo.

Empezar gratis

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

4h

Antigüedad

Publicado
Recolectado

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.

Extracto de la fuente

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 indexa y enlaza. Publicamos un extracto breve; el artículo completo sigue en AWS Machine Learning Blog.

Inicia sesión para seguir esta fuente
Production MLOps at GS Caltex with Amazon SageMaker Canvas,…