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VMware@Philips

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

CategoryValue result
CapabilityNamed workflow replaces ad hoc routing for model serving
CapabilityApplied AI delivery stays visible to adjacent teams through vSphere
CapabilityML 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.

Relationship map

Philips uses VMware, Veeva, Epic Systems, GitLab, Workday, Microsoft. Shared with Activision Blizzard, AdventHealth, Aircall, AkzoNobel, Alignment Healthcare. Industry: Health Care. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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