Sustainability

Organizations in all sectors know that sustainability is born from innovation. Whether it’s machine learning, Internet of Things, or data analytics—AWS provides the tools so customers can solve society’s sustainability challenges faster.

European League of Football

Football players wearing blue uniforms entering the field

The European League of Football broadcasts nearly 100 American football matches during its season, which lasts from June to September each year. It’s a labor-intensive process that involves thousands of staff and complex coordination. It centralizes this process with support from AWS to drive efficiency and sustainability, while giving fans the same great-quality viewing experience.

Deutsche Bahn Energie

DB Energie

As part of the German national railway Deutsche Bahn (DB), DB Energie uses machine learning to help meet sustainability and electricity supply reliability goals. It turned to AWS and Amazon SageMaker to build, train, and deploy ML models with managed infrastructure, tools, and workflows. Within 1 year, DB Energie built a scalable ML pipeline that empowers fast deployment, helping to deliver agile and customer-centric data products.

Iberdrola

Iberdrola on AWS

Iberdrola has championed sustainability for more than two decades. By using AWS, it developed an energy management solution—training and deploying machine learning models on Amazon SageMaker—to help cut customer energy consumption and cost by up to 30%.

Renfe

Renfe trains

For Spanish rail transport operator Renfe, digital transformation and sustainability go hand in hand. Using AWS serverless technology, Renfe can scale according to demand, helping to ensure energy is used efficiently and cost-effectively, supporting its environmental goals.

Engie

Engie on AWS

ENGIE built a “Common Data Hub” on Amazon Web Services to make more innovative use of over one petabyte of data across thousands of projects. Built using AWS technologies, it helps cities—such as Barcelona—reduce energy consumption by up to 15 percent. In addition, the ability to scale the company’s infrastructure up during peak hours and down during less active hours saves ENGIE 60 percent in cloud runtime costs.

Siemens

Siemens on AWS

Powered by AWS, Siemens migrated and transformed its existing industrial software into Software as a Service (SaaS)—improving access and availability to customers of all sizes. The company uses AWS services for IoT and data analytics to merge its customer’s IT and operational technology data to accelerate digital transformation. It is also developing low-code/no-code software, making it easier for non-developers to build industrial applications up to 10 times faster.

Sencrop

A green row panorama of fresh crops grow on an agricultural farm field in the Salinas Valley, California USA

Sencrop built its microclimate application on Amazon Web Services (AWS) using core services such as Amazon EMR—a cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning (ML). Using Sencrop’s solution, almost 30,000 farmers across Europe improved sustainability efforts by reducing water use, chemical spray treatment frequency, and tractor and harvester trips.

Sweep

Sweep on AWS

SWEEP, an AWS Partner, provides a solution for managing carbon data and environmental, social, and governance (ESG) data to help customers meet disclosure regulations, drive innovation, and reduce carbon emissions through carbon reduction strategies. SWEEP’s software platform provides the flexibility and scalability needed to map and manage complex metrics to make data-driven business decisions.

Enersis

Enersis

Its ability to bring clarity to the energy value chain is the reason thousands of cities, regions, and energy companies in Germany and Switzerland work with enersis. The climate technology firm’s digital platform uses Amazon Web Services (AWS) to scale and secure big data that helps customers make critical energy-related decisions.

TUI

TUI

The travel group TUI used Amazon Web Services (AWS) to build a tool to help it measure the sustainability impact of its infrastructure. Applying this solution to one of the company’s machine learning products meant it could lower resource requirement by 40 percent, while maintaining the service excellence that its 60 million customers expect.

Castilla-La Mancha

Castilla-La Mancha on AWS

The Castilla-La Mancha Regional Government wanted to drive economic development for its 2 million-plus residents in an inclusive and sustainable way. To achieve its goal, it built a digital twin of the entire region—which covers roughly 79,000 square kilometers (30,502 square miles)— that runs on a cloud-native AWS infrastructure to predict the outcomes of policies on the economy, tourism, healthcare, wildfires, and other areas.

Climate X

Climate X Uses AWS to Project Climate Risks with Trillions of Data Points

Climate X created the climate risk analytics software Spectra to project the impact of climate change and extreme weather events on assets, businesses, and people worldwide. As the company works with petabytes of data to create its projections, Spectra was designed and built on AWS, which allowed Climate X to scale from 1 trillion data points to 500 trillion, reduce simulation time from 100 days to 3 days and move from proof of concept to production in 3 months.

Città di Torino

Città di Torino on AWS

Working with satellite and artificial intelligence (AI) technology firm Latitudo 40 and in collaboration with Amazon Web Services (AWS), the team at Torino used an innovative approach to understand how it could make its city, and the communities within it, more sustainable. Together, they created an application to give Torino data-driven insight into where to deploy nature-based solutions.

Heidelberg

Heidelberg

Heidelberg is striving to become a pioneer in digital city through sustainable city services using open standards. Digitalization can be used in nearly all areas of life to make life more easy, simple, and comfortable. The city has now the opportunity to expand and improve the existing services. Using AWS, it can leverage modern methods for solutions that have a high usability and at the same time ensure Data Sovereignty.

Device Atlas

Device Atlas

DeviceAtlas customers analyze trillions and trillions of records to get the actionable intelligence that allows them to tailor content, optimize engagement, and drive revenue. Hundreds of businesses—from startups to technology giants to consumer brands—run DeviceAtlas efficiently using Amazon Web Services.

The Climate Data Factory

The Climate Data Factory on AWS

The Climate Data Factory provides specific data on how climate risks will evolve over the next decades. It aggregates, process and make global climate simulation data available through an HPC infrastructure housed on the AWS Cloud, resulting on a 3x faster computing environment, 10x cost savings on infrastructure and immediate access to HPC clusters, which allows the start-up to launch HPC simulations on the fly.

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