AWS in Automotive with Stefano Marzani, Part 2 of 2 | Ep 6

In this special two-part episode with guest Stefano Marzani, the WW Tech Lead for Software Defined Vehicles from AWS, we discuss the importance of cloud technology as applied to vehicles.  In this Part 2, we discuss  Prototyping, Machine Learning/AI, and ADAS/Autonomous Driving. In, Part 1, published previously (LINK) we meet Stefano, learn about his important role at AWS and cover the first two topics: Data and Compute. Links referenced in the show: AWS Automotive homepage: www.aws.com/automotive AWS All Things Automotive Podcast:  https://aws.amazon.com/architecture/all-in-series/all-things-automotive/?all-in-livestream-cards.sort-by=item.additionalFields.sortDate&all-in-livestream-cards.sort-order=desc&awsf.products=*all&awsf.tech-category=*all AWS Case study with BMW https://aws.amazon.com/solutions/case-studies/bmw-group-case-study/ Part 2 Chapters: 00:00 - Overview 00:40 - Topic 3: Prototyping in the cloud and “Environmental Parity” 02:20 - Running on Arm in the cloud and the vehicle 03:13 - Start software development in the cloud 03:55 - Difficulty of validation for automotive 04:49 - Empowering developers via the cloud 05:18 - Vehicle software will triple in the next five years 07:07 - “Shift left” to accelerate design cycles 07:54 - $40-50 Billion lost to automotive recalls  08:51 - Developing vehicle HMI with the cloud 10:57 - SDV can reduce cost of recalls 11:43 - Consolidation of ECUs  12:22 - Consolidating software effectively without bloat 13:45 - SOAFEE and standards for automotive 15:31 - Topic 4: Machine Learning and Analytics 16:45 - Data collection and annotation with SageMaker 17:22 - Other frameworks for ML in AWS 17:52 - In-vehicle validation of new models 18:30 - Finding edge cases  19:20 - Tools to manage ML workflows  21:55 - Topic 5: ADAS and Autonomous Driving 22:35 - Near-term benefits from ADAS 25:00 - Seeking edge cases  25:30 - Decomposing autonomous driving 27:30 - Collaboration between AWS and Sonatus 29:29 - Importance of using real ECUs 31:04 - Summary

In this special two-part episode with guest Stefano Marzani, the WW Tech Lead for Software Defined Vehicles from AWS, we discuss the importance of cloud technology as applied to vehicles.  In this Part 2, we discuss  Prototyping, Machine Learning/AI, and ADAS/Autonomous Driving.

In, Part 1, published previously (LINK) we meet Stefano, learn about his important role at AWS and cover the first two topics: Data and Compute.

Links referenced in the show:

Part 2 Chapters:

  • 00:00 - Overview
  • 00:40 - Topic 3: Prototyping in the cloud and “Environmental Parity”
  • 02:20 - Running on Arm in the cloud and the vehicle
  • 03:13 - Start software development in the cloud
  • 03:55 - Difficulty of validation for automotive
  • 04:49 - Empowering developers via the cloud
  • 05:18 - Vehicle software will triple in the next five years
  • 07:07 - “Shift left” to accelerate design cycles
  • 07:54 - $40-50 Billion lost to automotive recalls 
  • 08:51 - Developing vehicle HMI with the cloud
  • 10:57 - SDV can reduce cost of recalls
  • 11:43 - Consolidation of ECUs 
  • 12:22 - Consolidating software effectively without bloat
  • 13:45 - SOAFEE and standards for automotive
  • 15:31 - Topic 4: Machine Learning and Analytics
  • 16:45 - Data collection and annotation with SageMaker
  • 17:22 - Other frameworks for ML in AWS
  • 17:52 - In-vehicle validation of new models
  • 18:30 - Finding edge cases 
  • 19:20 - Tools to manage ML workflows 
  • 21:55 - Topic 5: ADAS and Autonomous Driving
  • 22:35 - Near-term benefits from ADAS
  • 25:00 - Seeking edge cases 
  • 25:30 - Decomposing autonomous driving
  • 27:30 - Collaboration between AWS and Sonatus
  • 29:29 - Importance of using real ECUs
  • 31:04 - Summary
AWS in Automotive with Stefano Marzani, Part 2 of 2 | Ep 6
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