Solaris Automates Wellsite Data Integration - Improves Safety & Productivity | Amazon Web Services
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Опубликовано 14 июля 2021, 23:25
Using AWS, Solaris built a real-time monitoring application for oilfield equipment, ingesting IoT data that feeds into Amazon QuickSight, Amazon Timestream and other services powered by machine learning for inventory management, supply chain planning, and equipment health monitoring. Learn how they automated and integrated data ingestion to create a safer, more efficient and cost effective solution for customers.
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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #MachineLearning #IoT
Learn more about AWS - amzn.to/36nTewE
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #MachineLearning #IoT
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