Story
Google Cloud
UniqloHow Uniqlo Runs Applied AI Delivery on BigQuery
Uniqlo, a consumer discretionary organization in Japan, uses BigQuery from Google Cloud to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | ML and product teams work from the same BigQuery record for model serving |
| Capability | Model serving can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for model serving |
Story
Consumer Discretionary work at Uniqlo spans more than one site, even when headquarters sits in Japan. Model serving was splitting across regional habits. ML and product teams asked for a shared way to run applied AI delivery without freezing local judgment.
Google Cloud (BigQuery) is what they standardized on. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. Uniqlo uses it as the system of record for model serving, with ML and product teams as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
