Edge computing has become a major buzzword when talking about the future of technology.
Back in the very early days of computing, it was widely known that there was “one big computer.” As technology progressed, we learned how to connect more devices to larger, increasingly powerful computers. Then, after years of further progress, the world began to have personal computers that did all the work individually.
This has been going on for a while, but in 2022 most of those devices will be almost entirely cloud dependent, even though some people still own personal computers. Most people have access to services that work centrally, think computers, smartphones, tablets, Office 365, Microsoft Teams, Dropbox, and more.
In addition to this, Amazon Echo, Apple HomePod, and other smart tech also rely entirely on data and content stored somewhere in the cloud. They are rarely powered separately anymore. Even video games now rely on downloadable data and streaming instead of physical discs.
Large enterprises rely on the cloud for all of their computing power and infrastructure. But there really isn’t much room to grow there.
That’s where edge computing comes in. Instead of relying on the cloud, which can be time-consuming due to latency and bandwidth issues, companies are innovating how they see everything closer to the actual source.
Edge computing is defined as computing that occurs at or near the data source.
Raj Sukumar, senior vice president and head of Europe at Persistent Systems, a digital transformation and enterprise modernization company, said: verdict: “Take Tesla, for example, the car collects an enormous amount of real-time data.
“So the most efficient way to analyze this data is to build a model and be able to perform all the actions directly there, rather than taking the data, sorting it, and putting it back in the car. ”
Another example is Amazon moving the Echo series from cloud-based processing to its own AI chip. The move to edge computing reduces the need for Alexa to process voice commands and contact the cloud to respond. Instead, we handle everything in-house, which makes it faster and more efficient.
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