Infrastructure key to enabling intelligent edge computing

According to Satyen Yadav, general manager, IoT and edge services, Amazon Web Services, the network edge is all around us—at our homes, along our roadways, at the hospitals we visit and at the manufacturing facilities where we work. And by investing in edge computing, we can improve healthcare, use energy more efficiently and create safer cities that offer residents a better quality-of-life, he told attendees of the Wireless Infrastructure Association’s recent Connect X event in Charlotte, North Carolina. “So the question is,” he said, “what advancement can we expect in the future, together as an industry, to make that happen?” Yadav made a distinction between edge computing and intelligent edge computing, which adds machine learning and artificial intelligence to the equation. He gave the example of a connected camera capable of monitoring traffic or safety conditions. “It can do a lot more things when you apply machine learning to it. It can detect what other city services you need to do. If trash cans are lined up in the view, it can detect when the trash can is full. You don’t have to put anymore sensors on it.

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