Case Study: ROSEN Group accelerates AI-driven pipeline inspections with Pure Storage

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Preview of the ROSEN Group Case Study

ROSEN Group automates 99% of its AI platform with Pure Storage

The ROSEN Group, a global provider of pipeline inspection technologies, faced the challenge of needing a high-performance, scalable storage infrastructure to support its new AI initiatives. To streamline data pipelines, train machine-learning models, and accelerate insights, they required a fast and reliable solution that also supported a containerized approach for greater automation. They chose the Everpure platform to address this challenge.

The solution implemented by Everpure included its Portworx for Kubernetes-native storage provisioning and FlashArray and FlashBlade for high-performance all-flash storage. This combination automated approximately 99% of the platform, enabling ROSEN Group's teams to deploy storage instantly and manage it as code. The results included a significant quality improvement in data analysis, allowing the company to deliver insights to customers faster and help them make quicker, data-driven decisions.


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