Billions of IoT sensors in retail stores, city streets, warehouse workshops, and hospitals are generating massive amounts of data. Mining insights faster from this data can improve services, simplify operations, and even save lives. But to do this, companies need to make decisions in real time, and this needs to bring their AI computing to the location of the data, that is, the edge of the network。
At the edge, IoT and mobile devices collect data through embedded processors. Edge computing applies the power of AI directly to these devices, and processes the acquired data at the data source (rather than in the cloud or data center). Doing so can speed up the AI workflow and provide support for real-time decision making when needed.
Edge computing can be performed locally, without the need to connect to the Internet. In this way, the coverage of AI is expanded.
Sending data to the cloud requires sufficient bandwidth and storage, and processing the data locally can reduce this cost.
Processing sensitive data locally does not require sending it to the cloud, so sensitive data can be better protected.
Edge computing processes data at the point of action, which can reduce or eliminate the data transmission process, thereby accelerating the AI workflow.
Edge computing is designed for real-time, all-weather solutions. Edge computing is as close as possible to the data source when processing the data, which greatly reduces latency and provides organizations with practical insights in real time. These insights help to immediately respond to customer needs, provide surgeons with critical information during surgery, enable warehouses to operate efficiently and safely, and promote innovation in the field of autonomous driving.
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Edge computing is designed for real-time, all-weather solutions. Edge computing is as close as possible to the data source when processing the data, which greatly reduces latency and provides organizations with practical insights in real time. These insights help to immediately respond to customer needs, provide surgeons with critical information during surgery, make warehouses operate efficiently and safely, and promote innovation in the field of autonomous driving, etc.。
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