Story
Ventas Modernizes Model Serving with Google Cloud
Ventas, a real estate organization in the United States, uses Google Cloud from Google Cloud to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because model serving has a clear owner |
| Productivity | Handoffs in applied AI delivery sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how applied AI delivery actually runs |
Story
Ventas grew model serving faster than the local tools around it. From the United States, real estate 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 Google Cloud 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. Ventas 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.