Story
How Philips Runs Applied AI Delivery on vSphere
Philips, a health care organization in the Netherlands, uses vSphere from VMware to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for model serving |
| Capability | Applied AI delivery stays visible to adjacent teams through vSphere |
| Capability | ML and product teams work from the same vSphere record for model serving |
Story
Philips is based in the Netherlands and runs health care operations at a scale where model serving cannot live in side channels. ML and product teams were reconciling competing copies of the same work, which slowed applied AI delivery and hid who owned the next step.
The company runs applied AI delivery on VMware, with vSphere as the product ML and product teams actually open. VMware, part of Broadcom, provides virtualization, private cloud, and container software used to run enterprise data centers. For Philips, that means ML and product teams can open one workflow, see model serving, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for model serving.