客户案例/制造业

2022 年
西门子徽标

西门子帮助多家公司成为数字化企业

西门子是一家总部位于欧洲的全球化制造公司,在包括制造业、基础设施、运输和医疗保健在内的多个行业中处于市场领导地位。西门子是 AWS 咨询合作伙伴和 ISV,专注于数字孪生和物联网。

倾听软件即服务(SaaS)产品组合战略副总裁 Tosh Tambe 讲述西门子如何帮助其软件工具提高可访问性、扩展性和灵活性,从而缩短客户实现价值的时间。

探索西门子利用 AWS 开启的创新之旅

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Showing results: 13-16
Total results: 25
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  • Germany

    Siemens Smart Infrastructure Breaks Building Data Out of Silos on AWS

    Siemens Smart Infrastructure built Building Twin from Siemens—a platform that ingests and presents building-generated data, agnostic of source—using Amazon Neptune, Amazon EC2, and AWS Lambda.
    2019
  • Germany

    Siemens’ MindSphere on AWS Accelerates Customers’ Time to Value from IIoT

    Siemens built MindSphere, an IIoT operating system that can easily connect to as many as 80 percent of worldwide industrial automation devices to accelerate customer time to value from IIoT, on an AWS-native architecture. The global company provides systems for power generation and distribution, intelligent infrastructure for buildings and distributed energy systems, and automation and digitalization solutions for process and manufacturing industries. MindSphere uses many AWS services, including AWS Lambda for orchestration and Amazon Kinesis to decouple data and devices.
    2019
  • Germany

    Safer Railways Through Better Data Analytics

    Siemens is the largest industrial manufacturer in Europe, producing technology and software for the transport, medical, and energy sectors, among many others. The business has an annual revenue of €87 billion and employs around 385,000 people worldwide. In this video, Yvonne Quacken, head of digital services research and development at Siemens, explains why the company uses Amazon Web Services (AWS) to deliver its Railigent application to rail operators. The application collects data from live trains and helps operators make data-driven decisions to ensure the safety and efficiency of their rail networks. To enable this, Siemens developers needed to access and manage data efficiently across multiple business silos. Because data was not stored consistently across the organization, preparing datasets could take months, and costs were unacceptably high. Siemens built an environment for Railigent using AWS services such as Amazon Athena, AWS IoT, and Amazon Simple Storage Service (Amazon S3). This gives data scientists a self-service platform to manage data ingestion, integration, and preparation. The result is shorter development times and lower complexity, which means faster and more efficient business insights for Siemens.
    2019
  • Germany

    Siemens Cybersecurity Case Study

    Siemens built an AI-enabled cybersecurity platform on AWS. The company is a global electrification, automation, and digitalization leader. The platform uses Amazon SageMaker to make predictions and act, AWS Glue to extract, transform, and load data, and AWS Lambda to run code in response to events.
    2019
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