Data Driven Culture in Software Defined Vehicles
summary
Rivian describes concrete systems: a Rivian Charge Score launched six months ago that uses fleet telematics to rate chargers and feeds trip planning, producing a reported 35% increase in charge stops; ML on battery manufacturing and field data that shortens charge time; a connected-service flow that turns a typical 15‑day service cycle into minutes via remote symptom matching and automated scheduling; and an edge+cloud stack with monthly OTA updates, LLM/agentic frameworks and infotainment inference for low‑latency voice and in‑car assistants.
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chapters (14)
- 0:00Introduction
- 1:50Rivian as software-defined vehicle
- 5:25Rivian operations in Serbia
- 6:30AI trends at Rivian
- 9:05EV experience with data and AI
- 12:12Rivian Charge Score and trips
- 13:58Battery optimization with AI
- 15:23Vehicle service models
- 18:16Voice assistant challenges
- 20:01Vehicle-cloud data distribution
- 20:46Monthly software updates
- 21:50Gear Guard and brand features
- 23:37AI assistants demo
- 25:19Q&A
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