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The so-called edge artificial intelligence refers to installing artificial intelligence algorithms on edge devices and placing data processing locally. Through the use of edge artificial intelligence, the impact of environmental fluctuations such as the network can be reduced, data processing is more timely, and decision-making efficiency is improved. Next, let us take a closer look at what this includes.
Traffic Analysis: Through the deployment of edge artificial intelligence, traffic content such as access data can be analyzed in real time; it can be monitored for abnormal content and possible security risks can be discovered in a timely manner.
Real-time decision-making: In industries such as manufacturing that have high timeliness requirements for data, edge artificial intelligence can provide real-time data support for decision-making and help managers make timely adjustments to production plans. .
Reduce dependence on the cloud: Edge artificial intelligence can reduce dependence on cloud platforms, thereby reducing bandwidth pressure and allowing enterprises to further optimize network resources. At the same time, it reduces the losses suffered when cloud service providers are attacked, further ensuring production security.
Reduce Internet dependence: Compared with the current production model that is highly dependent on network operation, edge artificial intelligence can work offline for a long time, providing a more solid guarantee for the smooth operation of production. Of course, this does not mean being completely disconnected from the network. Intermittent data exchange is also an important way to receive front-end feedback.
Personalized customization: With the help of edge artificial intelligence, it can reduce the development cost of users' personalized needs and make product model production more efficient and convenient. Personalized customization can enhance the overall competitiveness of an enterprise, make product production more adaptable to changes in market demand, and increase production flexibility.
Privacy Security: The use of edge artificial intelligence avoids the risks involved in the cloud data upload and return process, and protects private data in the local environment, further reducing exposure risks.
The deployment of edge artificial intelligence is the inevitable result of the pursuit of the current information security environment. As a revolutionary production tool, artificial intelligence will definitely bring more changes to society and make our lives smarter.
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