Cloud for Automotive

Modernize at every stage of the automotive and mobility value chain with AWS.

 

Benefits

  • Purpose-built automotive solutions
  • Scalability and Flexibility
  • Innovation and Speed to Market
  • Security and Compliance
  • Connected Vehicle Platforms
  • Cost Efficiency
  • Global Reach
  • Data Management and Analytics

As the landscape of automotive technology rapidly shifts, it’s crucial for companies within this sector to stay ahead of the curve. AWS Cloud offers a robust platform that enables automotive manufacturers, dealers, and vendors to swiftly access and manage applications and services. This unprecedented speed in operational management fosters greater agility and efficiency throughout the entire supply chain. The experts at Aligned Technology Group will work with you to provide AWS Cloud solutions to streamline processes, enhance productivity, and ultimately, drive innovation in a highly competitive industry.

Specialists with AWS

As an Advanced Tier Services partner, Aligned is vested and committed to Amazon Web Services (AWS). We are working tirelessly to enhance and extend our expertise with AWS. We truly believe in the superiority of AWS over other cloud competitors, and see this play out with our Clients each and every day.

Transform every link in the automotive and mobility value chain with AWS

AWS has developed the most complete set of automotive-specific services and solutions covering software-defined vehicle, connected mobility, autonomous mobility, digital customer engagement, manufacturing, supply chain, and product engineering.

We can help you …

Discover purpose-built automotive solutions and services.

AWS IoT Core

AWS IoT Core allows automotive companies to connect their vehicles to the cloud securely, enabling real-time data collection and analysis. This solution supports various applications, from telematics and predictive maintenance to driver safety and autonomous driving features, by processing and analyzing vehicle data at scale.

 

AWS Outposts

AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any on-premises facility, including manufacturing plants. This is particularly useful for automotive manufacturers requiring low-latency processing and data residency.

AWS IoT FleetWise

AWS IoT FleetWise is designed to collect, transform, and transfer vehicle data to the cloud efficiently. It enables automotive companies to easily manage fleets of vehicles, monitor vehicle health in real-time, and optimize fleet operations..

Amazon Elastic Kubernetes Service (EKS)

Amazon EKS simplifies the process of building, securing, operating, and maintaining Kubernetes clusters at scale. Automotive companies can leverage EKS to develop and deploy applications that enhance vehicle and customer service experiences.

Amazon SageMaker

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. In the automotive industry, it accelerates the development of autonomous driving technologies by facilitating the analysis of vast amounts of data from vehicle sensors.

Amazon Lex

Amazon Lex provides advanced artificial intelligence capabilities to create interactive conversational interfaces for applications. Automotive companies can use it to develop virtual assistants and chatbots for customer service, enhancing engagement and support.

Industry Use Cases

We’ve highlighted some examples of applying AWS for Automotive

Smart Manufacturing with IoT Integration

  • AWS Services Used: AWS IoT Core, AWS IoT Greengrass, Amazon Kinesis
  • Implementation: Utilize AWS IoT Core and AWS IoT Greengrass to connect and manage IoT devices and sensors on the manufacturing floor for real-time data collection. Amazon Kinesis processes this data stream, enabling immediate analysis and response to production line metrics, such as machine performance and assembly line efficiency.

Supply Chain Optimization

  • AWS Services Used: Amazon S3, AWS Lambda, Amazon SageMaker, Amazon Forecast
  • Implementation: Implement a data lake using Amazon S3 to gather supply chain data. Use AWS Lambda for real-time data processing, and Amazon SageMaker for building predictive models to forecast supply needs and identify potential disruptions. Amazon Forecast further enhances supply chain decision-making by predicting future demand patterns, ensuring optimal inventory levels and timely material procurement.

Quality Control and Assurance

  • AWS Services Used: Amazon Rekognition, Amazon SageMaker
  • Implementation: Deploy Amazon Rekognition for visual inspection of vehicles and parts on the production line, automatically identifying defects or deviations from quality standards. Amazon SageMaker analyzes historical quality data to predict and prevent potential quality issues before they occur, continuously improving the manufacturing process.

Digital Twin for Product Development

  • AWS Services Used: AWS IoT TwinMaker, Amazon EC2, AWS Lambda
  • Implementation: Use AWS IoT TwinMaker to create digital twins of vehicles, enabling simulations that test performance under various conditions without physical prototypes. Amazon EC2 provides the computational power for these simulations, while AWS Lambda automates the simulation process, speeding up innovation and reducing development costs.

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.