The great future of Edge Computing

One of the three great technologies of this 2021 has been Edge Computing, and its importance will continue to grow in the coming years because applications and services require faster processing.

What is Edge Computing

In principle, Edge Computing has a formidable field of application in business and industrial organizations.

Internet of Things (IoT) devices collects a large amount of information. Still, they are limited to sending this data to the cloud, where it is processed to obtain specific information or triggered events, which does not allow optimization of the transmission speed.

Edge Computing for companies and industry

But all of this can be improved by using Edge Computing, where information is stored very close to the data source (hence EDGE = Edge of the network).

Because the processing does not have to happen in the cloud but locally, it is much faster, using less bandwidth, and reducing latency to a minimum.

If it is not necessary to send all this information to the cloud and the devices themselves are in charge of processing it, allowing organizations to analyze it in real-time, something tremendously necessary for specific industries such as telecommunications, finance or health.

Benefits of this technology

As we can see, all this results in benefits that must be taken into account:

Reduction of broadband costs by not having to upload data to the cloud at all times.
Lower latency, almost non-existent.
Greater agility and speed in the user’s decision-making.
Better security conditions by controlling the privacy of information. Its storage occurs locally.
Improvement of the user experience.

Edge Computing Applications

Edge Marketing is going to have a wide diffusion in Information Technology circles:

Manufacturing industry: Analyze and prevent possible errors in the production chain.
In Agriculture and livestock: Monitoring in real time the processes carried out.
In the mining and oil industry: Bringing analytics to the most remote places is one of the main challenges for Edge Computing.
Video games and multimedia content: Bringing data centres closer to the places where they are being consumed.
Energy consumption: IoT devices connected to the Edge monitor and correct energy consumption in industries and companies in real-time.
I am using Edge in autonomous driving and traffic management.
Apply this technology to healthcare, enabling automated care and immediate responses to incidents.
For questions related to surveillance and response to possible anomalies, by studying images instantly, detecting any problem that occurs, whether natural disasters or terrorist attacks.
In stock and finance. We are talking about fields in which a delay of seconds in the information can cause you to lose a lot of money, which is why it is essential to have extremely low latency periods.
Edge Computing makes inventory processes faster in the retail sector, reducing costs.

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