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Google Cloud@Penske Automotive

Google Cloud at Penske Automotive: Model Serving

Penske Automotive, a consumer discretionary organization in the United States, uses Looker from Google Cloud to support applied AI delivery for ML and product teams.

Value results

CategoryValue result
CapabilityML and product teams work from the same Looker record for model serving
CapabilityModel serving can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for model serving

Story

Penske Automotive grew model serving faster than the local tools around it. From the United States, consumer discretionary 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. Penske Automotive 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.

Relationship map

Penske Automotive uses Google Cloud, Nutanix, SAS, Cisco, Shopify, Okta, Datadog, Databricks, HubSpot, Stripe, Twilio, Salesforce. Shared with Airwallex, ASML, Best Buy, Commerzbank, Delivery Hero. Industry: Consumer Discretionary. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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