Story
Parker Hannifin Extends OpenShift AI Across Applied AI Delivery
Parker Hannifin, an industrials organization in the United States, uses OpenShift AI from Red Hat to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | Applied AI delivery stays visible to adjacent teams through OpenShift AI |
| Capability | ML and product teams work from the same OpenShift AI record for model serving |
| Capability | Model serving can be reviewed without waiting on a personal export |
Story
Inside Parker Hannifin, applied AI delivery used to depend on whoever still had the latest file. That pattern is common in industrials groups working out of the United States. ML and product teams needed a system that would still make sense after the original project team moved on.
Parker Hannifin uses OpenShift AI from Red Hat as the working layer for model serving. Red Hat, an IBM company, provides enterprise open source platforms, including RHEL, OpenShift, and Ansible, for hybrid cloud. The practical change is simple: applied AI delivery has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What Parker Hannifin gets from Red Hat is a durable place to run applied AI delivery and a way for ML and product teams to see the same model serving at the same time.