Today, Amazon Cloud Technology announced that it will fully empower the digital transformation of the automotive industry around three major automotive industry digital scenarios: autonomous driving, vehicle networking, and software-defined vehicles. Amazon Cloud Technology will build a professional service team for the automotive industry through global infrastructure, vehicle-cloud integrated cloud-edge-end services, dedicated industry solutions, and an extensive partner network to empower car companies to transform to software-defined vehicles and accelerate Innovation in the automotive industry.
Gu Fan, General Manager of Amazon Cloud Technology Greater China Strategic Business Development Department
"Electrification, networking, intelligence, and sharing are reshaping the automotive industry value chain, and vehicle-cloud integration has become the new core competitiveness of automotive companies. Amazon Cloud Technology, with its leading technologies, services, global practices, and a wide range of The members of the automotive industry partner network work together to empower customers to develop autonomous driving, build the Internet of Vehicles, and transform to software-defined vehicles." said Gu Fan, general manager of Amazon Cloud Technology Greater China Strategic Business Development Department, "As an innovation leader, As a technology enabler and a practitioner in the industry, Amazon Cloud Technology will accelerate the deployment, empower customers in the automotive industry to further improve their competitiveness, and build their own moat in the journey of the 'new four modernizations' of automobiles."
Powerful computing power and machine learning services enable autonomous driving to accelerate the landing
As the technological pinnacle of the digital transformation of the automotive industry, autonomous driving requires strong computing power, machine learning and reasoning capabilities, and relies on massive data for algorithm training and simulation verification. The massive computing and storage resources of cloud computing can realize ultra-large-scale data processing, model training and simulation clusters, thereby accelerating the implementation of autonomous driving products. Therefore, in the fierce competition on the autonomous driving track, the technologies and capabilities of cloud service providers in these areas have become the key to helping car companies win.
Data runs through every scenario of autonomous driving research and development. Amazon Cloud Technology focuses on the autonomous driving data lake to help car companies build an end-to-end autonomous driving data closed loop. Build an autonomous driving data lake with Amazon Simple Storage Service (Amazon S3, an object storage service on the cloud) with near-infinite scalability to achieve data acquisition, data management and analysis, data annotation, model and algorithm development, simulation verification, map development, and With DevOps and MLOps, car companies can more easily realize the development, testing and application of the whole process of autonomous driving.
In the extremely difficult and challenging data labeling, model and algorithm development, and simulation verification links in autonomous driving technology, Amazon Cloud Technology's machine learning service Amazon SageMaker and Amazon Elastic Compute Cloud (Amazon EC2) elastic computing service have leading advantages. In the data labeling process, Amazon SageMaker Ground Truth can easily complete the automatic labeling of various vehicles, scenes and user data, and create high-quality data sets for training machine learning models that meet the requirements. In the simulation verification stage, especially for ultra-large-scale simulations, Amazon EC2 elastic computing service Spot instances can provide low-cost computing power at the level of millions of vCPUs, saving up to 90% of costs and accelerating the development and implementation of autonomous driving technology.
Global resources and serverless services enable auto companies to deploy flexible Internet of Vehicles globally
The Internet of Vehicles is the foundation of future vehicle intelligent services, has become the core of the automotive ecosystem service system, and is an important application scenario for automotive business on the cloud. In the process of building Internet of Vehicles services, with the expansion of their business, car companies need to deploy globally in a unified manner to achieve high availability and secure connections, and to meet the security compliance requirements of global operations; in order to adapt to the elastic needs of Internet of Vehicles business and reduce operational Due to the difficulty of maintenance, car companies need to use modern services such as global unified architecture, microservices, and serverless computing to build a flexible and agile Internet of Vehicles architecture. At the same time, car companies need to choose a global IoV partner, connect a richer service ecosystem and content to IoV, build a comprehensive service system, and provide value-added services based on massive data to improve customer experience.
At present, the infrastructure of Amazon Cloud Technology covers 84 availability zones in 26 geographic regions around the world, allowing car companies to easily build a car networking platform in various geographic regions, bringing higher stability and lower latency. The security compliance of IoV data is always the top priority. Amazon Cloud Technology supports 98 security standards and compliance certifications, which can meet the security compliance needs of customers in almost all regions of the world. Amazon Lambda's serverless computing and microservices help car companies build a modern, serverless, flexible and agile car networking architecture, which not only meets the elastic needs of car networking business, but also helps them save costs and reduce the difficulty of operation and maintenance.
Based on the data lake of the Internet of Vehicles, car companies can also use data analysis and machine learning technologies to deeply mine the value of data and provide more and more value-added data services. For example, the use of Amazon SageMaker, a machine learning service of Amazon cloud technology, combined with charging and battery management data, can realize battery failure prediction of electric vehicles and improve user satisfaction. The global partner network of Amazon Cloud Technology can provide customers with IoT, data analysis, interconnected mobility, edge computing, charging management and services, map navigation and other overall solutions and platform services for the Internet of Vehicles. In addition, car companies can rely on Amazon¡¯s global business system to integrate Amazon¡¯s intelligent personal assistant Amazon Alexa to provide users with in-car voice interaction and easily access rich Amazon content, including Amazon Instant Video, Amazon Audible, Amazon Music, Amazon FireTV, etc. The individual needs of customers.
All-round layout, enabling car companies to realize software-defined cars
Software-defined vehicles have become the core competitiveness of automotive companies. Software is deeply involved in the process of vehicle definition, development, verification, sales, and service, which has spawned the demand for cloud-native platforms, tools, and best practices at all levels of the automotive industry. The transformation of software-defined vehicles requires cloud service capabilities in all aspects, such as data lakes, Internet of Things, machine learning and artificial intelligence, edge computing, etc. At the same time, it is necessary to cooperate with the entire industry ecosystem to jointly provide innovative technologies and services.
The omni-directional layout of Amazon cloud technology enables car companies to realize software-defined cars. The first is to participate in the scalable open architecture SOAFEE initiated by ARM, strengthen the equivalence of the vehicle cloud environment between the ARM architecture processor Amazon Graviton and the processor manufacturers at the vehicle end and the edge of the Internet of Vehicles, so that the vehicle software development and cloud software development can be unified; The second is to cooperate with BlackBerry (BlackBerry) to build BlackBerry IVY to help it build a smart car software development and data platform, read vehicle sensor data in a consistent and secure way, and ensure that data can be processed inside the vehicle and in the cloud and gain insights; three It cooperates with Continental (Continental Group) to help Continental develop Continental Automotive Edge (CAEdge), a full-stack software-defined vehicle development platform, providing a high-performance, highly automated development environment to support all processes of autonomous driving system development; fourth, realize cloud The end-to-end data closed-loop integrating edge and terminal, providing a full range of cloud services; Fifth, the Amazon IoT FleetWise service is specially built for the automotive industry to collect and convert vehicle data in real time, cost-effectively and efficiently, transmit it to the cloud, and use data analysis. Carry out data mining with machine learning services to improve the quality, safety and autonomous driving capabilities of cars based on data insights; sixth, set up an Amazon cloud technology professional service team to provide software-defined car solutions, build multi-tenant, highly automated, car-cloud integration, A data-driven, safe and compliant software collaborative development and testing environment helps automotive companies quickly build a software-defined vehicle development environment and capabilities.
Working with customers and partners to accelerate innovation in the automotive industry
Amazon Cloud Technology has carried out extensive cooperation with customers in the automotive industry and members of the APN partner network around the world. Many automotive companies choose Amazon Cloud Technology as their preferred cloud service provider to accelerate transformation and innovation.
Lotus Technology is a global intelligent technology company under the professional sports car brand Lotus Group (LOTUS). It inherits the company's 74 years of innovative genes and technology accumulation, and provides intelligent driving technology and software applications required for high-end cars. Amazon Cloud Technology provides cloud services to Lotus Technology's overseas business. Lotus Technology built an autonomous driving data lake with Amazon S3 as the core, and desensitized the data and uploaded it for the development and simulation of artificial intelligence models and algorithms. In addition, Lotus Technologies can use services such as Amazon EC2, Amazon Relational Database Service (Amazon RDS, managed relational database service) and Amazon Elastic Kubernetes Service (Amazon EKS, Kubernetes container orchestration service) for big data analysis. With the help of Amazon Cloud Technology's cloud services, Lotus Technology can achieve better data closed-loop development and application in intelligent driving.
WirelessCar is the world's leading connected car service provider. After choosing Amazon Cloud Technology as the preferred cloud service provider, it creates an all-scenario connected car solution. With the help of the global infrastructure of Amazon Cloud Technology to meet the needs of global deployment, WirelessCar has built a variety of connected car solutions and deployed them in Amazon Cloud Technology Europe, the Americas and China, serving 100 countries and regions around the world. More than 9 million connected cars provide innovative digital services. Using Amazon's cloud technology serverless computing service Amazon Lambda to build a large-scale elastic interconnected car platform, WirelessCar brings customers a highly agile, elastic and scalable infrastructure, which greatly saves operating costs. Take advantage of Amazon WAF (Web Application Firewall) services and encryption services to fully keep your data secure and compliant.
BlackBerry is the global leader in intelligent security software and services. Leveraging Amazon Cloud Technology, BlackBerry developed the BlackBerry IVY software platform, which addresses the access, collection and management of critical data in the automotive industry. The BlackBerry IVY can run on the car's embedded system, but can be managed and configured remotely from the cloud, allowing automakers to provide a consistent, secure way to read vehicle sensor data for greater vehicle data visibility, data access control, and Edge computing capabilities with higher data processing speed and efficiency. Automakers will be able to use the platform's application programming interface to share data and output with software development teams to innovate in-vehicle services and experiences; while protecting customer privacy and security by controlling vehicle and application data access rights and granularity of accessible data.
The leading edge of Amazon Cloud Technology in the automotive industry has been highly recognized by industry analysts. Frost & Sullivan, the world's largest business growth consulting firm, recently awarded Amazon Cloud the "2022 Company of the Year Award in the Global Automotive Cloud Service Platform Industry", which is also Amazon Cloud Technology has won this award again after winning this honor in 2020.
