Amazon Cloud Technology Joins Hands with Kaijie China to Release the "White Paper on Sustainable Development of the Automotive Industry" and Assist in Launching a Carbon Emission Management Platform

    Amazon Cloud Technology and Capgemini China jointly released the "White Paper on Sustainable Development in the Automotive Industry" (hereinafter referred to as the "White Paper"), and assisted Capgemini China in launching a carbon emission management platform, committed to helping automotive companies solve the challenges they face in implementing sustainable development in a digital and intelligent manner, and accelerating their net zero journey. Based on services such as Amazon cloud technology storage, databases, and machine learning, car companies can analyze, predict, and monitor carbon emissions data in real-time on a digital management platform, thereby establishing a long-term path to carbon reduction and sustainable development.

    Kaijie is a global technology consulting and management service company headquartered in Paris, France, with 360000 team members in over 50 countries worldwide. As early as 2012, Kaijie became a core consulting partner for Amazon Cloud Technology globally, providing enterprises with services covering the entire lifecycle from cloud consulting, evaluation, cloud migration to cloud operations and hosting services. In China, the cooperation between Kaijie and Amazon Cloud Technology began in 2017, and the two sides reached a strategic partnership in 2019. So far, Capgemini has obtained 11 Amazon cloud technology capability certifications, including migration, SAP workload, IoT, and finance, widely serving industries such as automotive, retail fast-moving consumer goods, life and health, internet, and high-tech.

    With the increasing attention of society to sustainable issues, reducing carbon emissions has become an important topic for leading car manufacturers. This white paper starts from the methodology and capabilities of Capgemini Consulting in sustainable development transformation, and combines Amazon Cloud Technology‘s technology and digital solutions to provide comprehensive and practical solutions, including enterprise carbon management and establishing sustainable supply chains. The White Paper is based on the sustainable transformation framework of Kaijie China CAM (Commit, Act, Monitor), and provides reference for enterprises to plan and manage their own sustainable transformation through three steps: commitment, action, monitoring, and reporting. The sustainable development of the supply chain and suppliers is one of the key points in the sustainable transformation process of automotive enterprises, including the procurement of raw materials, the carbon footprint of production and manufacturing, and procurement and delivery activities in the network of suppliers and distributors. The White Paper also introduces Capgemini China‘s supply chain sustainable risk management platform built on Amazon Cloud Technology, and how to leverage the advantages of cloud computing to help enterprises reduce supply chain interruption crises caused by ESG issues, while reducing compliance and regulatory risks.

    Carbon management is a key link in the sustainable development value chain of automotive companies. To this end, Kaijie China has built a "carbon emission management platform" based on Amazon Cloud Technology for industries such as high carbon, energy industry, and transportation, to help enterprises clarify carbon assets, monitor and analyze data, optimize operational strategies, and track implementation effects. The prerequisite for carbon emission management is to first collect real-time energy consumption data of enterprises, and then conduct data aggregation, cleaning, and standardization. However, due to the fact that 90% of carbon emissions in automotive manufacturing enterprises mainly come from the supply chain, and the large number of suppliers in automotive enterprises, data collection is difficult and the structure is complex, which brings huge challenges to enterprise data management. Relying on Amazon Cloud Technology‘s "Carbon Data Lake Solution", Capgemini China builds a scalable carbon data lake by using the cloud‘s scalable object storage service Amazon Simple Storage Service (Amazon S3) and managed relational database service Amazon Relational Database Service (Amazon RDS) to store raw energy consumption data, carbon emission calculation factors, and carbon emission data of enterprises. Amazon Glue, a serverless data integration service, integrates energy consumption data collected from multiple data sources with environmental data to create a complete dataset for better understanding of carbon emission trends and further analysis. The fully hosted machine learning platform Amazon SageMaker can help enterprises quickly build, train, and deploy machine learning models, predict their future energy consumption and carbon emissions, help enterprises have a clearer understanding of their carbon emissions, and based on this, develop more reasonable emission reduction plans to achieve sustainable development goals.

    In addition to having rich experience and insights in the field of sustainable development, Kaijie China has also provided digital and intelligent transformation services for car companies for a long time, and has collaborated with Amazon Cloud Technology to release several white papers on the automotive industry, such as "Smart Journey: The Automotive Industry Fully Embraces the AI Intelligence Era" and "The Expedition of Chinese Brand Car Enterprises: Helping Chinese Brand Car Enterprises Achieve High Quality Business Growth White Paper". In addition, Capgemini China relies on the cutting-edge technology and services of Amazon Cloud Technology to create industry solutions such as the Internet of Vehicles, car overseas marketing platforms, and car data lakes, empowering car companies to undergo digital and intelligent transformation.

    A global high-performance electric vehicle brand hopes to create a mobile application app and backend system that directly targets consumers, including e-commerce, membership services, community content operations, etc., to align with its business model strategy. Relying on Amazon Cloud Technology‘s serverless application architecture, Kaijie China provides a "lake warehouse integrated data platform" solution, ensuring that car companies can configure and use according to traffic, whether in peak or valley business scenarios, maintain flexibility and agility, and reduce cost expenditures. Amazon Glue, a serverless data integration service, helps customers implement data extraction, transformation, and loading (ETL) processes for subsequent analysis, machine learning, and application development. At the same time, Amazon Kinesis, a real-time data stream processing service, can process a large amount of real-time data streams, such as vehicle sensor data, location information, etc., and quickly analyze and respond. In addition, using the interactive serverless query service Amazon Athena, analysis results can be obtained in seconds without the need to prepare the running environment and move data, significantly reducing data processing time.

    A Chinese car company hopes to expand its business globally within one year, while also balancing structural rationality and cost. Kaijie China has built a digital marketing platform for car companies based on Amazon cloud technology, which can help customers achieve accurate consumer profiling and enhance consumer interaction, thereby providing targeted product recommendations. Specifically, with the help of Amazon Simple Storage Service (Amazon S3), a scalable object storage service, its nearly infinite storage capacity and high persistence of up to 11 9s can store massive amounts of data and protect its security. At the same time, through Amazon Cloud Technology‘s Kubernetes container orchestration service Amazon Elastic Kubernetes Service (Amazon EKS), flexible, efficient, and elastic deployment can be carried out to ensure the smooth and uninterrupted operation of the digital marketing platform. The Amazon Relational Database Service (Amazon RDS) managed relational database service can easily complete time-consuming database management tasks and effectively unleash data value. Ultimately, with the global coverage of Amazon Cloud Technology‘s infrastructure, Capgemini China helped this car company quickly land the platform on four continents within a year, helping the brand achieve its global vision.

    Amazon Cloud Technology has rich experience in innovation transformation and overseas service for automotive companies in the automotive industry Chu Yan, the head of the automotive industry in the Asia Pacific region, said: Relying on Amazon‘s leading cloud computing technology and services in the cloud technology industry, Capgemini China has created customized solutions for car companies that cover the Internet of Vehicles, software defined cars, and carbon emission management, deeply empowering digital transformation and innovation for car companies. In the future, we look forward to continuing to work with Amazon Cloud Technology to deeply cultivate more industries, help more companies shape unique competitive advantages, and achieve sustainable and intelligent development

    Ni Dianling, General Manager of the Innovation and Growth Enterprise and Partner Ecosystem Business Unit of Amazon Cloud Technology in Greater China, stated: Capgemini China has many years of experience in serving automotive companies in digital and intelligent transformation. We are very pleased to collaborate with Capgemini China to provide innovative technologies and digital solutions to help automotive companies achieve green transformation and intelligent upgrading. This year, Capgemini China also joined the Amazon Cloud Technology Sustainable Development Partnership as one of the first batch of partners. We look forward to continuing to deepen cooperation with Capgemini and empower more enterprises to achieve business innovation New and green low-carbon transformation