Story
Google Cloud
MichelinMichelin Extends Google Kubernetes Engine Across Applied AI Delivery
Michelin, a consumer discretionary organization in France, uses Google Kubernetes Engine from Google Cloud to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | Applied AI delivery stays visible to adjacent teams through Google Kubernetes Engine |
| Capability | ML and product teams work from the same Google Kubernetes Engine record for model serving |
| Capability | Model serving can be reviewed without waiting on a personal export |
Story
Inside Michelin, applied AI delivery used to depend on whoever still had the latest file. That pattern is common in consumer discretionary groups working out of France. ML and product teams needed a system that would still make sense after the original project team moved on.
Michelin uses Google Kubernetes Engine from Google Cloud as the working layer for model serving. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. 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 Michelin gets from Google Cloud 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.
