Case Study on Ansible !

ADVANTAGES OF ANSIBLE

BMW Case Study

CHALLENGE

Gain high-performance big data capabilities

Worldwide, car manufacturers are focused on introducing automated vehicles, which require hundreds of millions of miles of driving data to prove their safety. To develop the driving algorithms for its automated vehicle initiatives, the BMW Group needed to access, analyze, and apply massive quantities of data — and update its driving applications with new algorithms as they are developed. The group wanted to create a high-performance, data-driven development platform as the IT foundation of its autonomous vehicle efforts.

SOLUTION

Provide machine learning capabilities at massive scale

The BMW Group chose to work with DXC Technology to build a solution for its data and performance challenges. To create a Kubernetes-based platform with robust automation capabilities, DXC Technology deployed DXC Robotic Drive, a managed Platform-as-a-Service (PaaS) based on Red Hat OpenShift and other Red Hat technology. This solution helps the BMW Group develop faster with scalable machine learning and big data processing capabilities. The platform was configured and created in just 3 months.

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