Story
How Swatch Group Runs Applied AI Delivery on BigQuery
Swatch Group, a consumer discretionary organization in Switzerland, uses BigQuery from Google Cloud to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for model serving |
| Capability | Applied AI delivery stays visible to adjacent teams through BigQuery |
| Capability | ML and product teams work from the same BigQuery record for model serving |
Story
Swatch Group is based in Switzerland 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 Google Cloud, with BigQuery as the product ML and product teams actually open. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. For Swatch Group, 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.