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Google Cloud@CircleCI

CircleCI Standardizes Model Serving on Google Cloud

CircleCI, 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

CategoryValue result
CapabilityModel serving can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for model serving
CapabilityApplied AI delivery stays visible to adjacent teams through BigQuery

Story

Information Technology work at CircleCI spans more than one site, even when headquarters sits in the United States. 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. CircleCI 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 The story is about operating change, not an unpublished percentage.

Relationship map

CircleCI uses Google Cloud, Zendesk, Teradata, Dataiku, OpenAI. Shared with Airwallex, ASML, Best Buy, Commerzbank, Delivery Hero. Industry: Information Technology. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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