How edge computing technology transforms daily business operations

How edge computing technology transforms daily business operations

By shahan sabir

Overall Rating
2 months ago

Privacy is a critical concern of companies and clients. The increased dependence on artificial intelligence has regulated the operations of the company, but it also has some dark side, as the information of the user is not in safe hands. It is the core value of the companies to secure their data from hackers. Edge computing has come to resume the businesses from the data breaches. Between 2022 and 2023, the healthcare industry faced the highest data breach of almost $11 million.

Understanding of the edge computing

Edge computing is networking that occurs near the actual location of the data source or the user. This means that only a few steps are performed on the cloud, and further processing is done on the client’s computer. This reduces the communication time, the client gets swift services through these tools and the companies benefit from the flexibility of the hybrid cloud.

What is latency and why is it reduced?

The time required for a packet of information to go from one place to another is the latency. So to enhance the user experience it is essential to reduce it so that the users do not face any disturbance. In edge computing technology, the main aim is to reduce latency. When it is reduced the chances of data exposure are lowered, because the data is near the physical location of their source. Artificial intelligence tools are used for this purpose, this is the latest form of technology, and organizations need to integrate it.

How is edge computing different from other computing models?

The first computers were large, the clients could only access them directly or through their extensions. After personal computers were invented, they stored all the information, sometimes information was stored in the data center, which was the on-premise data center. After this cloud computing was introduced, which saves all the records on the cloud of the vendor.

It has a disadvantage as it contains the latency, therefore it is not now suggested. Edge computing is the latest form, as it has reduced the communication time between the users, it is processed near its source. It maintains the centralized nature of the client, along with this the data requires less time to travel from one place to another.

Some common uses cases of the edge computing

The following are the real-time uses of the advanced clouding technology:

1: Manufacturing plant

These are used on the factory floor, to ensure seamless data transmission. The information can be transferred swiftly, without any hurdles, so the companies can regulate their operations. As the data is close to the equipment, it requires very little time to move from one place to another, the factory can maintain coordination among its departments.

2: IoT devices 

The Internet of Things (IoT) benefits the user with swift interaction as the code is saved on their smartphones, rather than on the cloud. 

3: Artificial Intelligence

As the technological world is growing, the need for AI hardware and software is on a surge. Edge computing can be a deal maker in biometric verification technologies. Simply put, edge computing can take the data closer where it gets processed. 

Edge computing can help in the video analytics by reducing the latency, and helping out in a smooth kyc process that businesses use for onboarding and other verification procedures. 

4: Medical monitoring device

In the medical industry, swift services are very important, a slight delay can lead to many issues. Therefore the medical devices must respond on time, in edge computing they do not have to wait to hear from the cloud.

5: Video conferencing

The live video sessions require the bandwidth, so if the backend process is closer to the data source then the latency can be reduced.

6: Autonomous Vehicles

This can be used in vehicles where connectivity is inconsistent. The trains and buses use this technology to provide seamless services to their passengers. Delivery drivers can also use this edge computing device and can find better routes for delivery. They ensure reliable services and protect data privacy.

What are the benefits of edge computing?

The following are the advantages of computing devices:


Edge computing is very economical as compared to cloud-based because it reduces the bandwidth and the other server resources. Cloud devices are costly, and the company has to spend an extra amount on them. Therefore now organizations prefer this advanced technology. The usage of smart devices such as printers, thermostats, smart cameras, and toasters is increasing in offices and households. To suppose all these devices, edge computing will be required.

Overcoming network limitations

The environment in which the network is limited to edge commuting can be used to reduce the communication delay. In rural areas or remote industrial sites, this device can be used and the companies do not have to depend upon continuous network access. In this way, it unlocks new possibilities for the industries, as now they don't have to use the local network, although it is a challenging thing edge computing has resolved many complications.


The best feature of edge computing is that it reduces the latency. Every device has to first communicate with the distant server, after this, their information is transferred. It is a time-consuming process. The latest tool reduces all kinds of delay, as it is processed near the survey. For example, two employees of the company are chatting on their cell phones under the same roof. They will observe a delay in communication, as first, the message has to reach the server outside the building, which is present around the globe. Therefore a slight delay can be seen, to resolve this issue, edge computing is used.

 In this way, the internal router of the company will be responsible for transforming the information. It ensures swift services and the message will be delivered in no time. The same is the case of the customers that are using another kind of web application, in cloud-based technology they have to face the delay, as the information first has to reach the external server, and after this, they will get the record. That is due to the bandwidth and the server resources, to mitigate these issues edge computing is utilized.

New functionality

It provides the company with new functionality that they were previously not using, such as Reduced latency, Decreased bandwidth, less cost, and added functionality.

Challenges of the edge computing

The company has to face the following challenges while implementing and managing it:

Scalability of the server to different locations is a complicated issue, the small companies find it difficult to integrate it.

It requires more hardware so that it can send its raw data to the server, for this purpose, the company must have a sophisticated computer.

It requires more physical security as compared to the others, as they are at greater risk of accidental attacks or malicious situations.

Final thought

Edge computing is revolutionizing the field of artificial intelligence, by decreasing the latency and the user resources. They have enhanced privacy and safeguarded the companies from data breaches, as now the information does not have to first reach the centralized network. Other than this it has reduced the issues of the network limitations in the distant areas. As they can be integrated even in challenging areas that lack networking access. This technology is continuously evolving and introducing new features. It will unlock new opportunities for the industries while maintaining client privacy.


Know your customer Artificial Intelligence Kyc process Edge computing Cyber Security

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