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Abstract: AI platforms at the Edge that are capable of running AI algorithms may look like your basic IoT Edge server, but that is not the case. There’s actually a fair amount of fine tuning that takes place, both in terms of hardware and software to enable this compute-intensive technology. It could be adding to the compute capabilities, ensuring that the system can handle the environments of industrial, medical and/or rugged application, or deploying the appropriate software. In this session, we will look at what’s required to run the deep-learning and machine-learning algorithms that are needed to run your connected AI application. In most cases, that means running advanced analytics to employ real-time decision making.
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