Acoustic anomaly detection using Amazon Lookout for Equipment

Favorite As the modern factory becomes more connected, manufacturers are increasingly using a range of inputs (such as process data, audio, and visual) to increase their operational efficiency. Companies use this information to monitor equipment performance and anticipate failures using predictive maintenance techniques powered by machine learning (ML) and artificial

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Shared by AWS Machine Learning April 10, 2021

Detect abnormal equipment behavior and review predictions using Amazon Lookout for Equipment and Amazon A2I

Favorite Companies that operate and maintain a broad range of industrial machinery such as generators, compressors, and turbines are constantly working to improve operational efficiency and avoid unplanned downtime due to component failure. They invest heavily in physical sensors (tags), data connectivity, data storage, and data visualization to monitor the

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Shared by AWS Machine Learning April 10, 2021

Object detection with Detectron2 on Amazon SageMaker

Favorite Deep learning is at the forefront of most machine learning (ML) implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks can outperform humans in a variety

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Shared by AWS Machine Learning April 9, 2021

Improve operational efficiency with integrated equipment monitoring with TensorIoT powered by AWS

Favorite Machine downtime has a dramatic impact on your operational efficiency. Unexpected machine downtime is even worse. Detecting industrial equipment issues at an early stage and using that data to inform proper maintenance can give your company a significant increase in operational efficiency. Customers see value in detecting abnormal behavior

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Shared by AWS Machine Learning April 9, 2021

How to map the knowledge "sticking points"

Favorite Knowledge transfer often requires several steps, and knowledge can get stuck along the way. But where are those sticky points? I have often used the analogy of a Supply Chain when looking at knowledge transfer, with knowledge as a resource to be supplied to the knowledge workers on whose

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Shared by Nick Milton April 6, 2021

Join AWS at NVIDIA GTC 21, April 12–16

Favorite Starting Monday, April 12, 2021, the NVIDIA GPU Technology Conference (GTC) is offering online sessions for you to learn AWS best practices to accomplish your machine learning (ML), virtual workstations, high performance computing (HPC), and Internet of Things (IoT) goals faster and more easily. Amazon Elastic Compute Cloud (Amazon

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Shared by AWS Machine Learning April 6, 2021