Introduction
This case study of Digits Financial is based on a March 2021 survey of Vertex Pipelines customers by TechValidate, a 3rd-party research service.
VERTEX PIPELINES CASE STUDY
This case study of Digits Financial is based on a March 2021 survey of Vertex Pipelines customers by TechValidate, a 3rd-party research service.
“Since using Vertex Pipelines, we retrain and deploy models in days, not months.”
“We deploy our models with confidence knowing that there is a robust ML CI/CD pipeline that will deploy the model in the target environment reliably.”
“Google Cloud Vertex Pipelines have made it easy to scale our ML pipelines at Digits without the overhead of maintaining dedicated Kubernetes clusters. With our focus on rapid iteration and delivering new value for customers, Vertex Pipelines let us move faster from ML prototypes to production models, and give us confidence that our ML infrastructure will keep pace with our transaction volume as we scale, with minimum DevOps requirements.”
The business challenges that led the profiled company to evaluate and ultimately select Vertex Pipelines:
The key features and functionalities of Vertex Pipelines that the surveyed company uses:
The surveyed company achieved the following results with Vertex Pipelines:
This data was sourced directly from verified users of Google Cloud Cloud AI/ML by TechValidate.
TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.
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