A Technology Broker and Management Company Specializing in KM Systems
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 intelligence
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Shared by AWS Machine Learning April 10, 2021
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 condition
Read More Shared by AWS Machine Learning April 10, 2021
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 of
Read More Shared by AWS Machine Learning April 9, 2021
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 in
Read More Shared by AWS Machine Learning April 9, 2021
AWS DeepRacer is the fastest way to get rolling with machine learning, giving developers the chance to learn ML hands-on with a 1/18th scale autonomous car, 3D virtual racing simulator, and the world’s largest global autonomous car racing league. With the 2021 AWS DeepRacer League Virtual Circuit now underway, developers
Read More Shared by AWS Machine Learning April 9, 2021
On June 2, 2021, don’t miss the opportunity to hear from some of the brightest minds in machine learning (ML) at the free virtual AWS Machine Learning Summit. Machine learning is one of the most disruptive technologies we will encounter in our generation. It’s improving customer experience, creating more efficiencies
Read More Shared by AWS Machine Learning April 8, 2021
Currently, many diseases affect farming and lead to significant economic losses due to reduction of yield and loss of quality produce. In many cases, the health condition of a crop or a plant is often assessed by the condition of its leaves. For farmers, it is crucial to identify these
Read More Shared by AWS Machine Learning April 7, 2021
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 decisions
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Shared by Nick Milton April 6, 2021
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 EC2)
Read More Shared by AWS Machine Learning April 6, 2021
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high-quality ML artifacts. AWS Serverless
Read More Shared by AWS Machine Learning April 3, 2021
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