Connected Vehicle is far more than just the car
summary
Shows how to run streaming analytics on an edge gateway installed in commercial vehicles using an on-board streaming engine to analyze telemetry (model, horsepower, oil temperature, time-in-service) and send alerts over cellular. Describes building and deploying a decision-tree model (downloaded over-the-air or at service) to predict turbo faults with a 30-day actionable lead time, and running that model natively on the vehicle so detections are immediate.
AI-written summary · about
chapters (6)
- 0:00Start
- 13:21The connected vehicle is enabling new business model opportunities
- 26:39On Board Data Processing
- 27:47Connected Vehicle Data (Sensor and Usage Dota)
- 35:49Prescriptive Analytics
- 36:45Model Selection
related talks
20mAWS On Air ft. AWS IoT FleetWise
19mSecuring the future of mobility: Automotive threat modeling
40mSmart cars of tomorrow: real-time driving patterns
08mdata science in automotive
12mCARdea: Two-Phase Plausibility-Based Vehicle-to-Vehicle Anomaly Detection...
26mData Driven Culture in Software Defined Vehicles
17mApplying Data Science to Infotainment Experiences
40mAccelerate autonomous vehicle development
