Story
Google Cloud
GlobalFoundriesHow GlobalFoundries Runs Applied AI Delivery on BigQuery
GlobalFoundries, an information technology organization in the United States, 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
GlobalFoundries is based in the United States and runs information technology 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 GlobalFoundries, 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.
