Story
Microsoft Azure
HavasHavas Runs Applied AI Delivery with Microsoft Azure
Havas, a communication services organization in France, uses Azure DevOps from Microsoft Azure to support applied AI delivery for ML and product teams.
Havas runs applied AI delivery on Microsoft Azure so ownership is obvious when work stalls.
“In France, ML and product teams already knew where model serving went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads.”
Independent write-up. Figures come from public sources or are illustrative.
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 |
| Risk and compliance | Azure DevOps is the governed place ML and product teams use for applied AI delivery |
Story
Havas did not need another dashboard that nobody opened. It needed applied AI delivery to move. In France, ML and product teams already knew where model serving went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Azure DevOps from Microsoft Azure is now in that path. Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads. The company treats it as production tooling for applied AI delivery, which is why ML and product teams live in it rather than exporting from it once a quarter.
Havas can show how model serving is handled today. That is the value: a repeatable way to run applied AI delivery on software the rest of the industry already recognizes.
