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Siemens on AWS

A global leader in electrification, automation, and digitization, Siemens AG has driven innovation across industries for nearly 175 years. Siemens uses an array of AWS services to carry on that tradition of transformation—bringing IIOT to railways and factories, developing intelligent infrastructure for buildings and distributed energy systems, implementing AI into its cybersecurity platform, and more.

Siemens Uses AWS to Reduce Power Plant Alerts by 90%

2019

Siemens built a serverless AWS solution to analyze and reduce power plant alerts. The company provides power, medical, laboratory, and manufacturing solutions. The solution uses AWS Lambda to orchestrate analytics and Amazon DynamoDB to hold the results of analytics processes.

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Siemens Handles 60,000 Cyber Threats per Second Using AWS Machine Learning

2019

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.

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Siemens Finds New Value in Employee Surveys Using AWS Machine Learning Services

2019

Siemens surveys employees quarterly using AWS machine learning technologies to translate and analyze results in less than two weeks. The company’s survey-processing solution uses Amazon Translate, a neural machine translation service; Amazon SageMaker, a managed machine learning service; and Amazon Comprehend, a natural language processing service that finds relationships in text.

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Siemens Mobility Helps Rail Operators Avoid Downtime and Unplanned Maintenance

2019

Siemens Mobility simplified operations and democratized its data by developing and implementing an open ecosystem for rail data integration on AWS. A leader in transport solutions for more than 160 years, Siemens Mobility is constantly innovating its portfolio in its core areas of rolling stock, rail automation and electrification, turnkey systems, intelligent traffic systems, and related services. The solution includes a data lake based on Amazon S3 for dataset catalogs, AWS Glue for data transformation, Amazon Athena for interactive querying, and Amazon EMR for processing and analysis of unlimited amounts of data.

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Siemens Smart Infrastructure Breaks Building Data Out of Silos on AWS

2019

Siemens Smart Infrastructure used AWS to build Building Twin from Siemens, a platform that ingests and presents building-generated data, agnostic of source sensors and systems. Siemens Smart Infrastructure provides physical products and systems, cloud-based digital offerings, and value-added services. AWS Professional Services helped the company build its Building Twin platform using Amazon Neptune as the graph database engine, Amazon EC2 for web-scale cloud compute resources, and AWS Lambda for executing code in response to triggers.

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On AWS, our AI-driven cybersecurity platform easily exceeds the strongest published benchmarks in the world."

Jan Pospisil
Senior Data Scientist, Siemens Cyber Defense Center


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

2019

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. MindSphere uses many AWS services, including AWS Lambda for orchestration and Amazon Kinesis to decouple data and devices.

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Siemens Builds the Junelight Smart Battery in a Startup-like Environment on AWS

2019

Siemens used AWS services to bring Junelight Smart Battery—a consumer smart battery for storing solar energy—to market in just 18 months.

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re:Invent 2019

2019
AWS re:Invent 2019: The Architecture of the Siemens MindSphere Platform
As part of its strategy of providing digital transformation solutions to realize value across the entire business and embrace Industry 4.0, Siemens built MindSphere, its open Internet of Things (IoT) operating platform hosted on AWS. Driven by automation, IoT, and cloud computing, Siemens can now solve business problems with the data that it collects, analyzes, and monitors. Learn how and why Siemens built MindSphere on AWS, for its own global factories and for its customers, in order to achieve world-class levels of manufacturing efficiency.
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Siemens Case Study - AWS Support

2018
Siemens Migrates to the Public Cloud Efficiently With the Help of AWS Support
Siemens uses a range of AWS services, including Amazon Elastic Compute Cloud , Elastic Load Balancing, Amazon Relational Database Service, AWS Auto Scaling, Amazon ElastiCache, and AWS CloudTrail for data analysis. Siemens uses AWS Support in order to optimize its migration and lower costs.
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Siemens Power and Gas Case Study

2018
Siemens Power and Gas Use Matillion ETL for Redshift from AWS Marketplace to Speed Data Analytics
Siemens Power and Gas division was looking for ways to accelerate its data-analytics and customer-digitalization projects. After choosing Amazon Redshift, it wanted to build out the solution with best-in-class software. A search through AWS Marketplace led Siemens to run a free trial of Matillion ETL for Amazon Redshift, which took less than one hour to try, buy and implement within their existing AWS environments. Siemens Power and Gas continues to use AWS Marketplace to find, try, and buy software that sets up in minutes and can shave weeks off of project timelines through the ease of implementing software and shortened procurement cycle.
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Siemens PLM Case Study

2017
AWS re:Invent 2017: Siemens PLM’s "AWS-First" Strategy & MindSphere Launch
Siemens has been able to drive innovation across multiple business units—including Siemens Mobility, Siemens Power and Gas, and Siemens PLM—using more than 40 services including Amazon Kinesis, Amazon Elasticsearch Service, and Amazon Athena. Siemens PLM provides product-lifecycle management software to thousands of companies and follows an “AWS first” strategy to power its MindSphere industrial IoT platform. Siemens Mobility built a predictive-maintenance SaaS solution, improving the availability and reliability of the Siemens-enabled trains from 87 percent to 99 percent. Thanks to Amazon EC2 Spot Instances and AWS Lambda, the Siemens Power and Gas division was able to ingest terabytes of data in minutes instead of one day.
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AWS Case Study: Siemens Healthcare Diagnostics

2016
AWS Helps Siemens Deliver Better Care at a Lower Cost
Siemens Healthcare Diagnostics helps advance human health through innovation. By using services such as Elastic Load Balancing, Amazon Simple Queue Service (Amazon SQS), Amazon Elastic Cloud Computing (Amazon EC2), Amazon Relational Database Service (Amazon RDS), Auto Scaling, Amazon ElastiCache, and AWS CloudTrail, Siemens has built a secure, HIPAA-compliant, and scalable platform on AWS.
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