Story
Google Cloud
ClariGoogle Cloud at Clari: Model Serving
Clari, an information technology organization in the United States, uses Looker from Google Cloud to support applied AI delivery for ML and product teams.
A Looker rollout at Clari took applied AI delivery out of inboxes and into a named queue.
“In the United States, ML and product teams already knew where model serving went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads.”
Independent write-up. Figures come from public sources or are illustrative.
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 Looker |
| Capability | ML and product teams work from the same Looker record for model serving |
Story
Clari did not need another dashboard that nobody opened. It needed applied AI delivery to move. In the United States, ML and product teams already knew where model serving went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Looker from Google Cloud is now in that path. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. The company treats it as production tooling for applied AI delivery, which is why ML and product teams live in it rather than exporting from it once a quarter.
Clari can show how model serving is handled today. That is the value: a repeatable way to run applied AI delivery on software the rest of the industry already recognizes.
