GS Caltex Production MLOps with Amazon SageMaker Canvas and Pipelines, Part 1

GS Caltex connects models built by process engineers in Amazon SageMaker Canvas to production workflows in Amazon SageMaker Pipelines, automating a handoff that previously required manual integration work. The South Korean energy and chemical company reports that ML engineers now deploy models within a few hours instead of about a week, and runs batch inference every 30 minutes rather than keeping endpoints continuously running, which it says has meaningfully lowered inference costs.