Story
Microsoft Azure
VakifBankVakifBank Standardizes Model Serving on Microsoft Azure
VakifBank, a financials organization in Turkey, uses Azure OpenAI from Microsoft Azure to support applied AI delivery for ML and product teams.
A Azure OpenAI rollout at VakifBank took applied AI delivery out of inboxes and into a named queue.
“Financials work at VakifBank spans more than one site, even when headquarters sits in Turkey.”
“ML and product teams asked for a shared way to run applied AI delivery without freezing local judgment.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Capability | Model serving can be reviewed without waiting on a personal export |
| Capability | Named workflow replaces ad hoc routing for model serving |
| Capability | Applied AI delivery stays visible to adjacent teams through Azure OpenAI |
Story
Financials work at VakifBank spans more than one site, even when headquarters sits in Turkey. 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.
Microsoft Azure (Azure OpenAI) is what they standardized on. Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads. VakifBank 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 The story is about operating change, not an unpublished percentage.
