Story
Microsoft Azure
NissanNissan Runs Applied AI Delivery with Microsoft Azure
Nissan, a consumer discretionary organization in Japan, uses Azure DevOps from Microsoft Azure to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because model serving has a clear owner |
| Risk and compliance | Azure DevOps 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
Nissan grew model serving faster than the local tools around it. From Japan, consumer discretionary teams still had to serve customers and internal partners who expected a straight answer. ML and product teams were the ones stitching the picture together by hand.
Rolling out Azure DevOps put applied AI delivery on Microsoft Azure. Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads. Nissan keeps the product in the path where work already happens, so ML and product teams do not context-switch into a graveyard system used only for audits.
The visible result is steadier applied AI delivery. Model serving is easier to inspect, and adjacent groups can join ML and product teams without a guided tour of someone's desktop.
