Story
Google Cloud
LookerGoogle Cloud at Looker: Model Serving
Looker, an information technology organization in the United States, uses Looker 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 Looker 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
Looker grew model serving faster than the local tools around it. From the United States, information technology 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 Looker put applied AI delivery on Google Cloud. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. Looker 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.
