AWS for Industries
AWS re:Invent 2019 – Automotive Industry Guide
Thank you for your interest in re:Invent 2019. To learn more about re:Invent 2020, please visit the event website to sign up for updates.
AWS re:Invent is a conference hosted by Amazon Web Services for the global cloud computing community. The event features keynote announcements, training and certification opportunities, access to more than 2,500 technical sessions, a partner expo, after-hours events, and so much more. re:Invent 2019 will take place Dec 2-6 in Las Vegas. With more than 60,000 attendees across six venues on the Las Vegas strip, 2019 promises to be the biggest re:Invent yet.
There are some incredible sessions shaping up for the automotive community with topics covering connected vehicles and mobility, autonomous vehicle development, and automotive manufacturing, with speakers from Toyota Connected, BMW Group, VW Group, Mobileye, and MOIA. Additionally, we have highlighted sessions across key AWS services including machine learning, artificial intelligence, and IoT that are relevant to the automotive audience.
With so much going on it’s sometimes difficult to determine how to spend your time. For Automotive attendees looking to get the most out of their experience:
- Register for re:Invent
- Browse the list of automotive sessions in the Session Builder and reserve your spot
- Use the filters and search functions in the Session Builder to look for other relevant topics
- Choose session types and level (200-400) based on your interest and expertise. For reference:
- “Sessions” are 60 min lecture style presentations,
- “Chalk Talks” are 15-min lecture followed by 45-min audience Q&A
- “Workshops” are 2+ hour hands-on sessions
- “Builders Sessions” are 60-min small group sessions for up to 5 people with an AWS subject matter expert
Automotive sessions
AUT202-L Automotive industry innovation in the cloud (featuring Toyota Connected)
AUT306 Creating a data-driven, cloud-native ecosystem at BMW Group
AUT301 Building predictive vehicle maintenance models on AWS
AUT303 How race teams gain a competitive advantage with AWS
AUT401 Building AR/AI automotive owner applications with AWS
Connected vehicles and mobility
AUT305 What’s new with the AWS connected vehicle solution? (Featuring Moia)
AUT304 Device provisioning and management for connected vehicles
AUT403 Hands-on with the new AWS connected vehicle solution (2.5 hr)
AUT402 Creating connected vehicle shadows using AWS IoT.
Autonomous vehicle development
AUT307 Navigating the winding road toward driverless mobility (featuring Mobileye)
AUT302 Running autonomous driving simulations at large scale in AWS
AUT404 Deep dive: AWS ML stack for autonomous vehicle model building
CMP328 How Uber automates efficient & scalable vehicle simulations with AWS Batch
AIM410 Deep learning applications with TensorFlow, featuring Mobileye
ROB402 Deep dive: AWS ML stack for autonomous vehicle model building
Manufacturing/smart factory
MFG204 Volkswagen takes production to the cloud
IOT339 Transforming automotive manufacturing with Volkswagen
MFG205-L Manufacturing Leadership session: From BI to AI at INVISTA
MFG202 Building on AWS: The architecture of the Siemens MindSphere platform
Other sessions for automotive interest
AI/ML
AIM422 Machine learning at the edge with Amazon SageMaker Neo
AIM221 Transform operations and enable predictive maintenance with ML
AIM416 Deploy an ML model on the cloud and at the edge
AIM422 Machine learning at the edge with Amazon SageMaker Neo
AIM312 Build more accurate forecasting models with machine learning
AIM323 Real-time personalization and recommendation using AI
AIM328 Build predictive maintenance systems with Amazon SageMaker
AIM343 Build computer vision models with Amazon SageMaker
AIM314 Computer vision at the edge
AIM218-L Leadership session: Machine learning
IoT
IOT217-S Making the CASE: Cloud-based innovation in the automotive industry
IOT204-S More than rubber on the road: Tires in an IoT world, featuring Pirelli
IOT318 Audit your device fleet with AWS IoT Device Defender
IOT309 Combining IoT and machine learning for predictive maintenance
IOT305-L Leadership session: IoT
IOT325 Managing security of large IoT fleets with AWS IoT cloud services
IOT405 Performing analytics at the edge
IOT216 The circular supply chain, and the drive for sustainability
IOT314 Driving operational performance across industrial facilities with AWS
Others
SEC337 Toyota Motor North America: Securing the cloud with AWS KMS
MOB309 Develop serverless GraphQL architectures using AWS AppSync (BMW)
ARC212 Cox Automotive: Results with AWS Well-Architected on 75 platforms
ARV203 Create digital twins using AWS IoT Core and Amazon Sumerian
BLC204 Building enterprise solutions with blockchain technology
See you in Vegas!