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Energy & Utilities

Asset & Work Optimization

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Innovation in Power & Utilities with AWS - Veolia Water Technologies

Amazon Web Services (AWS) helps power and utilities organizations improve asset reliability and optimize work performance. Whether your goal is to improve efficiency of your legacy enterprise asset management (EAM) systems, to implement an entirely new asset lifecycle management (ALM) approach, or to optimize the efficiency of your workforce, AWS can help. Our comprehensive range of services and partner solutions provide you the insight and  innovation you need to grow return on assets, improve team productivity, and lower related operating costs.

Use cases

Predictive Equipment Health

Predictive equipment health captures the condition of equipment so utilities can identify potential breakdowns before they impact system reliability. It’s more important than ever as IoT sensors and product historians expand across utility enterprises, with compounding volumes of valuable data.

AWS helps you access and analyze these data streams, transforming them into predictive maintenance insight for your utility. You’ll be able to track real-time anomalies, know when to act quickly to avoid problems, and discover ways to improve maintenance practices vital to asset health.

Flowchart illustrating data collection, analysis, automation, and machine learning using AWS services, including IoT Analytics, Amazon Mobile, and SageMaker.

Industrial Data Analytics

For decades, utilities companies have relied on 3rd party time-series historian database software like OSISoft Pi to connect industrial device data with users and provide real-time operational intelligence around capital assets. Structured data from relational databases, unstructured data from maintenance reports, equipment sensor data, and SAP transactions were trapped in disparate systems creating islands of untapped data. AWS provides a gateway to store and perform advanced predictive and historic analysis. The industrial data analytics platform enables organizations to reduce costs, accelerate innovation, extract real-time insights, and bring together previously siloed data, thus enabling better, faster decision making.
Flowchart illustrating a data processing pipeline: "Collect data" from various sources, "Process data" using Amazon S3 and AWS Glue, "Analyze" with Amazon SageMaker, EMR, and Redshift, and "Extract deep insights" for decision-making.

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Leading companies in the power & utilities industry are already using AWS. Contact our experts and start your own AWS Cloud journey today.
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