MAN Energy Solutions will use Amazon Web Services (AWS) as its cloud provider to provide advanced analytics, machine learning, and IoT services for its CEON platform, reports Riviera Maritime Media.
Amazon Web Services to provide advanced analytics
MAN’s CEON platform uses machine learning algorithms to collect and evaluate operating data to enable real-time monitoring of marine or power plant engines, turbines and compressors, all of which are equipped with hundreds of sensors that constantly transmit data.
The digital platform connects MAN equipment to offer customers advice, condition-based maintenance and repair guidance for marine and power engines, turbochargers, turbines, compressors and other connected equipment.
MAN chief executive Uwe Lauber said, “MAN CEON is the backbone of our developing digital-service business. By building the MAN CEON platform on AWS, we are able to leverage the latest machine learning and IoT managed services to improve our algorithms and scale our platform to customers globally.”
Machine learning for data analysis
Amazon Web Services is a leading cloud provider with just over a third of market share. MAN will use AWS’ IoT Greengrass and IoT Core to run analytics and machine learning on the edge to securely ingest data into the cloud.
“As industries look to improve their operations and become more efficient, they need reliable insights to avoid system failures,” said Amazon Web Services vice president business development and industries Kathrin Renz.
The algorithms for MAN CEON’s predictive maintenance are developed and constantly improved using Amazon SageMaker, a fully managed service that helps developers and data scientists build, train and deploy machine learning models.
To continue the development of the CEON platform, MAN will utilise an enablement strategy that includes hands-on and experiential upskilling programmes for its developers, data scientists, and product engineers via AWS Data Lab, AWS GameDay, and AWS classroom trainings from AWS Training and Certification, with a focus on IoT, security, and machine learning technologies.
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Source: Riviera Maritime Media
