Story
Smith and Nephew Uses IBM Cloud for Model Serving
Smith and Nephew, a health care organization in the United Kingdom, uses IBM Cloud from IBM 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 | IBM Cloud 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
Inside Smith and Nephew, applied AI delivery used to depend on whoever still had the latest file. That pattern is common in health care groups working out of the United Kingdom. ML and product teams needed a system that would still make sense after the original project team moved on.
Smith and Nephew uses IBM Cloud from IBM as the working layer for model serving. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. 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 Smith and Nephew gets from IBM 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.