GS Caltex Speeds Up ML Deployment with SageMaker Canvas and Pipelines

GS Caltex figured out how to get no-code ML models from business users straight into production by connecting Amazon SageMaker Canvas with Amazon SageMaker Pipelines. The result? Deployment time dropped from a week to just a few hours, and batch inference now runs every 30 minutes—pretty sweet for process engineers who want their models actually working, not gathering dust.