Story
AWS
PVHPVH Modernizes Model Serving with AWS
PVH, a consumer discretionary organization in the United States, uses Amazon EC2 from AWS to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in applied AI delivery sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Amazon EC2 is the governed place ML and product teams use for applied AI delivery |
| Capability | New joiners can see how applied AI delivery actually runs |
Story
PVH is based in the United States and runs consumer discretionary 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 AWS, with Amazon EC2 as the product ML and product teams actually open. Amazon Web Services is the leading public cloud for compute, storage, data, and AI services, used to run production systems at global scale. For PVH, 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.
