Machine Learning at scale is a complex web of glued together software. Building an enterprise pipeline that’s seamless and easy to use is a challenge most companies never seem to get right. The tools that support AI seem like they’re almost a decade behind software dev tools that brought us programming paradigms like Agile and DevOps.
Google moved to make it easier with the beta launch of Cloud AI Platform Pipelines built on the back of Kubeflow.
“Cloud AI Platform Pipelines provides a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility, and delivers an enterprise-ready, easy to install, secure execution environment for your ML workflows.”
Check out the complete annoucement on their blog.