SAS

Some problems — fraud scoring and risk modeling chief among them — still call for the statistical rigor SAS has built its reputation on. We use SAS to build and operationalize scoring models that hold up under regulatory scrutiny, alongside our broader AI and graph analytics capabilities.

Pairing SAS with Databricks and Google Cloud Platform infrastructure lets us run those models at production speed, without sacrificing the auditability financial institutions and insurers need.