Google Cloud Platform (GCP) recently announced the beta launch of Cloud AI Platform Pipelines, a new product for automating and managing machine learning (ML) workflows, which leverages the open-source technologies TensorFlow Extended (TFX) and Kubeflow Pipelines (KFP).
In a recent blog post, product manager Anusha Ramesh and developer advocate Amy Unruh gave an overview of the offering and its features. Cloud AI Platform Pipelines addresses the problem of managing end-to-end ML workflows, which span the lifecycle from ingesting raw data, to model training and evaluation, to serving model inference in production.
