IBM Released AI Starter Kit to Expand Machine Learning Models

IBM recently released a new machine learning end-to-end pipeline starter kit to assist developers and data scientists in rapidly developing and deploying machine learning applications in a cloud-native environment.

The starter kit is an element of the IBM Cloud-Native Toolkit, an open-source set of assets that provides a development environment for cloud-native apps that can be deployed on Kubernetes and Red Hat OpenShift.

The IBM Garage’s Cloud-Native Toolkit is a suite of accelerators that enable developers, administrators, and site reliability engineers to provide business applications across the software development life cycle by applying end-to-end open source patterns, such as GitOps, to any coding pattern (SDLC).

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