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Applying Data Science to Infotainment Experiences

Talkat Agile India 2021 · 2021-11-18..11-20· [machine-learning]
links:none on file
slides:none on file

Claim: automotive infotainment is no longer UI fluff but a safety‑critical, data‑driven system built on Android Automotive since a 2015 OEM alliance, requiring a telemetry feedback loop that captures real-time KPIs (vehicle speed, geolocation, network strength, voice-control latency). Teams use device instrumentation, connectivity and UX analytics to surface failures (blank screens, buffering, unresponsive voice) and tie them to driving state; the concrete deliverable is a monitored platform that flags regressions before rollout.

AI-written summary · about

  1. 0:00Intro
  2. 1:18Cars are becoming digital
  3. 4:07As auto industry becomes more softwarized, connected experience becoming a key buyer value
  4. 5:58The automotive industry is adopting Android Automotive OS and modern mobile development practices
  5. 8:04The industry needs a feedback loop to deliver on the promise of connected car experiences
  6. 11:50Auto OEMs will need to differentiate by providing a distinct digital brand experience
  7. 13:42Companies who deeply understand user behavior and proactively address issues will leapfrog and ultimately win
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