On-Premises Data Science — Challenges and Opportunity

Democratization of AI is a popular topic these days, and rightly so. It is necessary for mass adoption and enablement in many industries in order to solve their specific problems using AI — industries such as manufacturing, healthcare, and automotive all benefit from this approach. A major challenge is to build an AI platform that combines the best practices, tools and hardware.

This article explains why an on-prem ML solution is required, and highlights how Kubernetes and Kubeflow enable such deployments.