Story
FactSet Modernizes Model Serving with Nutanix
FactSet, a financials organization in the United States, uses Nutanix Cloud Infrastructure from Nutanix to support applied AI delivery for ML and product teams.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in applied AI delivery sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Nutanix Cloud Infrastructure is the governed place ML and product teams use for applied AI delivery |
| Capability | New joiners can see how applied AI delivery actually runs |
Story
FactSet is based in the United States and runs financials operations at a scale where model serving cannot live in side channels. ML and product teams were reconciling competing copies of the same work, which slowed applied AI delivery and hid who owned the next step.
The company runs applied AI delivery on Nutanix, with Nutanix Cloud Infrastructure as the product ML and product teams actually open. Nutanix offers hyperconverged infrastructure and hybrid multi-cloud software so IT teams can run VMs and Kubernetes consistently. For FactSet, that means ML and product teams can open one workflow, see model serving, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for model serving.