Story
AWS
ElsevierElsevier Modernizes Model Serving with AWS
Elsevier, a communication services organization in the Netherlands, uses Amazon EC2 from AWS 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
Elsevier grew model serving faster than the local tools around it. From the Netherlands, communication services 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 Amazon EC2 put applied AI delivery on AWS. Amazon Web Services is the leading public cloud for compute, storage, data, and AI services, used to run production systems at global scale. Elsevier 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.
