Global automotive group races to automated driving with data platform
The BMW Group needs to access, analyze, and apply large amounts of data collected from sensors used during road tests to support its automated vehicle initiatives. Created by DXC Technology using Red Hat software, the BMW Group’s new data platform helped the group reduce development time with faster, more accurate driving simulations and data analytics.
Without this solution, achieving the right level of analysis and efficiency would take literally millions of years of effort. Red Hat OpenShift makes the deployment of new applications as easy as possible for the entire DevOps team.
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.
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.
Software and services
Meet autonomous driving’s big data challenges
By automating repeatable tasks and providing self-service capabilities, the BMW Group significantly reduced development time and improved developer productivity. The platform also provides massively scalable data collection, processing, and storage capabilities. It offers close to 230 PB of usable storage and the compute power to simulate up to 240 million kilometers of test data. In addition, the BMW Group created a vendor-neutral environment for collaboration with partners and other automotive manufacturers to advance innovation.
The big aim is really that in the next 3 to 5 years, we will have fully autonomous cars driving on the street. But only those companies that can master the data will be able to succeed in autonomous driving development. We’re on the path to support the BMW Group’s transformation from a mechanical engineering company to a truly data-driven software company.