Story
AWS
SandvikHow Sandvik Runs Applied AI Delivery on Amazon S3
Sandvik, an industrials organization in Sweden, uses Amazon S3 from AWS to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Capability | ML and product teams work from the same Amazon S3 record for model serving |
| Capability | Model serving can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for model serving |
Story
Industrials work at Sandvik spans more than one site, even when headquarters sits in Sweden. 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.
AWS (Amazon S3) is what they standardized on. Amazon Web Services is the leading public cloud for compute, storage, data, and AI services, used to run production systems at global scale. Sandvik 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 The story is about operating change, not an unpublished percentage.
