Event 24
When small production platforms have backup equipment sitting around unused for long periods of time, it often leads to mechanical equipment failures that can cripple production for days or weeks on end. Thankfully, there’s help in the form of new technology. IOT and machine learning can be used to predict mechanical failures with enough lead time to get new equipment on-site before failure to eliminate unnecessary shut-in, and the ability to do this starts at the data layer.
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Connectivity is reshaping how OEMs approach product design. Now, hardware manufacturers need to produce devices and applications that can connect instantly to a network, in any corner of the world. To succeed, they require high quality, reliable and secure global connectivity that can be embedded while in the factory and managed in a simple and cost-effective manner thereafter.
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nvidia
Join us for this engaging, informative webinar and live Q&A session to find out more about how to use AWS ML services and AWS IoT Greengrass to develop deep learning models and deploy on the edge with NVIDIA Jetson Nano. During this webinar we will create a sample deep learning model, set up AWS IoT Greengrass on Jetson Nano and deploy the sample model on Jetson Nano using AWS IoT Greengrass.
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How do you build massive scale IoT and maximize ROI with data? Keeping a large herd of cattle healthy is a constant challenge for beef farmers. Recognizing the early symptoms of illness is one of the most effective ways to protect the herd and reduce loss. In this webinar, hosted by IoT For All, Fever Tags and Digi International will introduce you to best practices for IoT implementation on a massive scale, and specifically touch how digitizing animal health is possible using LoRaWAN.
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