Our vision at General Motors is a world with zero crashes, zero emissions and zero congestion. We use telemetry data to identify underlying factors to accomplish three zero goal by 2034. The vehicle data can be imagined as a combination of human and sensory behaviors that we first design our models and algorihtms based on human experience and then implement over data.My talk will give a general overview of the neural components of data and behavior and some common neura network algorithms.
Key Takeaways
- The main drivers (internal and external) for vehicle industry to become a data platform
- Designing a telemetry data project
- Best Practices
- Overview of an example implementation
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