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Which edge computing careers are in great demand?

Below are 5 edge computing careers that are currently in great demand. Jump to: Edge network engineers are responsible for designing, setting up and maintaining edge computing networks. In edge computing, data is processed at or near the edge of the network rather than at a centralized location. ...

What technological advances does 5G offer?

There are four technological advances that 5G offers: transmission speed, latency, robustness, and density. We talked about transmission speed earlier in this special report. It's how fast data can move up and down the pipes. In practical terms, Verizon says that 5G offers typical speeds that are up to 10 times faster than 4G. ...

How do I start a career in edge computing?

If you’re interested in starting a career in edge computing, there are a few things you can do to get started. First, invest in data science education and knowledge. Data is a critical component of edge computing, and those who understand how to collect, analyze and interpret it will be in high demand. ...

What is the future of edge computing?

It is an accepted fact supported by several studies that the edge computing market is growing fast and has bright prospects for the future. By 2030 there will be more than 29 billion IoT devices worldwide according to Statista. With the rapid growth of the IoT, edge computing is likely to become an increasingly important part of the IT landscape. ...

What is edge computing & why is it important?

In edge computing, data is processed at or near the edge of the network rather than at a centralized location. This can benefit applications that require low latency or high reliability, such as gaming, AR/VR and autonomous vehicles. SEE: 20 good habits network administrators need–and 10 habits to break (free PDF) (TechRepublic) ...

How AI & machine learning work in 5G?

There's also a ton of AI and machine learning in 5G implementations. 5G nodes and interface devices deployed on the edge, away from central hubs. They utilize AI and machine learning to analyze communications performance, and use AI to bandwidth-shape communications, to wring as much performance out of the hardware as possible. ...