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Albert Jordan VP Products 04-06-16 JDP Power IQS 2013 Redesigned - PowerPoint PPT Presentation

Albert Jordan VP Products 04-06-16 JDP Power IQS 2013 Redesigned IQS to include design issues Quality as Quality as Consumer Defined a differentiator a given Quality 334 Problems Per 100 Vehicles (PP100) 220 163 80 78 Source: J.D.


  1. Albert Jordan VP Products 04-06-16

  2. JDP Power IQS 2013 Redesigned IQS to include design issues Quality as Quality as Consumer Defined a differentiator a given Quality 334 Problems Per 100 Vehicles (PP100) 220 163 80 78 Source: J.D. Power 187 through 2013 Initial Quality Study (IQS)

  3. Ford reported 400 problems with its Honda Accord V-6 comes with fussy, troublesome Honda Accord V-6 comes with fussy, MyFord Touch system for every 1,000 HondaLink system, making it the most-competitive troublesome HondaLink system, making midsize sedan we can’t recommend. vehicles in november 2012. The it the most-competitive midsize sedan company previously said it aims to lower we can’t recommend. Consumer Reports that number to 360 by August. Consumer Reports Automotive News Automotive manufacturers really need to go back to the basics and design these Sweet-driving Cadillac CTS has ba ffl ing systems so drivers can keep their hands infotainment. The CUE system makes it hard on the wheel, their eyes on the road and just to turn up the radio. their mind on the drive Consumer Reports J.D. Power and Associates Mike VanNieuwkuyk,, Executive Director Automotive CLOUDCAR, INC. - PROPRIETARY & CONFIDENTIAL

  4. Potential Solutions

  5. CarPlay and Android Auto provide a parallel experience Navigation Phone Hands free calling Phone book Text Messaging Media AM/FM Radio CD Player USB Stick 5

  6. Be careful of “free lunch”…. You many not be able to afford it 6

  7. A Billion dollar business can be built by capturing less than a minute of an average user’s daily attention 19 Seconds 16 Seconds 10 Seconds $1.0 $2.5B $1.5B 36 Seconds 17 Seconds $1.5B $1.0B Source: Think Again; Tech and media outlook 2016; WSJD Conference; October 20, 2015 7

  8. Leveraging vehicle data it is possible to factor in the car context to provide a superior driver-centric experience Social Search Navigation Streaming Media Phone IP Messaging IP Calls IP Messaging Media AM/FM Radio Streaming media 8

  9. Challenge #1 App Integration 9

  10. Scenario Drive to San Francisco, get gas along way, and then look for parking at destination

  11. Perils of hardcoding services into the dash 11

  12. 12

  13. X 13

  14. Cloud based services Korea GO TALK PLAY Japan GO TALK PLAY (637) EU North America China GO TALK PLAY GO TALK PLAY GO TALK PLAY

  15. CloudCar Philosophy CLOUDCAR, INC. - PROPRIETARY & CONFIDENTIAL

  16. CLOUDCAR, INC. - PROPRIETARY & CONFIDENTIAL

  17. CLOUDCAR, INC. - PROPRIETARY & CONFIDENTIAL

  18. CLOUDCAR, INC. - PROPRIETARY & CONFIDENTIAL

  19. CLOUDCAR, INC. - PROPRIETARY & CONFIDENTIAL

  20. 20

  21. “Please get me fifty results per query” OEM 21

  22. There might be “Fifty ways to leave your lover” But probably only a couple of practical ones… 22

  23. Challenge #2 Distracted Driving 23

  24. Driver-Centric UX Voice first Flat design Non modal UX Personal context Car context Prediction engines 24

  25. Find take-out Chinese 25

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  29. Media Recommendations AC-DC NPR Disney Audiobook Channel

  30. IVI Migration ASR Goal Processing Microphone Commands, Touch Events, Radio Phone Media Navigation GPS

  31. Machine Learning Impact on IVI Cloud ASR NLU Provider Goal Framework Processing Microphone Media Commands, Touch Events, Radio Notification Navigation Recommendation IP Messaging Engine Routes Filter Route Clustering Route Prediction Messages GPS Calendar Items Information Presence Presence Extraction Clustering Identification Personal Corpus 31

  32. Machine Learning Enablers GPU Data 32

  33. Lots of data available Radar Tire Rotation Breaks Tire Pressure Accelerator Traction control Camera Rain Good Radio Steering Predictions Wheel Doors Seat Seatbelt Proximty Proximty GPS Compass Dead reckoning Rear Camera

  34. Challenge #3: Privacy 34

  35. Cloud Client Content provider integration Personal data storage Macro search Apply car context Recommendation systems Apply presence context Anonymized data Apply personal context Evergreen prediction engines 35

  36. Issue Physical Security: What if the head unit is stolen??? 36

  37. Summary Opportunity to develop compelling in car experiences - Experiences need to be “driver-centric”….. car is not a computer, not a phone, not a tablet - OEMs may leverage car sensor data to differentiate Predictive capabilities lead to flat and compelling experiences - Eliminate clutter - Provide the “best” result based on personal, vehicle, route context - Bubble up the top recommendations and place them a click away from users Leveraging head unit GPU capabilities lead to - Predictive capabilities on headhunt - Safeguard privacy - Ensure operations 37

  38. Thank you! albert@cloudcar.com 38

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