At a glance
Eviden partnered with a US automotive OEM to build a connected cars platform that will be used to test, research and develop new features and functionalities.
Outcomes
- A reliable and scalable interface
- Open and extendable data model
- Predictive maintenance to reduce downtime
- Optimized warranty reserve
The client
One of the largest automakers in the world specializes in the design, manufacture and sales of passenger cars, buses, minivans, trucks, specialty cars, recreational and sport-utility vehicles. It also provides financing to dealers and customers for the purchase or lease of vehicles.
In search of the perfect R&D platform
The leading automotive manufacturer was looking for a solution to help them exchange large data files between vehicles and the cloud for easy accessibility and faster analysis. This would also help with data classification (Semantics) and remotely command and control vehicles.
Build to accelerate. Build to last.
Leveraging Eviden’s Intelligent Autonomous Vehicle solutions, the US automotive OEM has built a connected cars platform that will be used for testing, research and development of new features and functionalities in the vehicle. The cloud-agnostic, portable solution is based on Eviden’s IoT Reference Architecture and in a completely managed environment with a DevOps pipeline for code promotion.
The microservice-based architecture is best suited for loose coupling and future extension capabilities, and the solution-building-blocks from ATOM drives up to 30% faster development. With a cloud native and server-less dependencies, the solution incurs lower hosting costs too.
Autonomous journeys ahead
The scalable data ingestion solution also has a reliable and scalable interface with an open and extendable data model. The predictive maintenance functionality aims to reduce downtime. Now the OEM can optimize its warranty reserves too.
With this cutting-edge technology, the solution paves the way for safer, smarter, and autonomous journeys.
Why Eviden
Eviden has an excellent track record and expertise in successfully implementing connected autonomous vehicles solutions.
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