With 5G, AI at the edge promises a compute-everywhere future

Luxury auto maker Audi is running full-throttle toward Industry 4.0 using AI guessing and computer vision on the factory floor with Autonomous Robot Welder, which can respond in real time and fix problems that arise when welding car frames. It is just one example of how the company is moving towards realizing its ultimate vision of building smart factories with scalable and flexible platforms that will enable 5G-powered data analytics, communications and processing on Edge.

In the past, welding required a lot of manual intervention and oversight to ensure adequate quality, says Nick McCawan, senior vice president and general manager of Network and Edge Group Intel, which is working with Audi. Now, the need for human intervention with cameras reviewing the quality of welds has been greatly reduced.

“If you want, or need to process data in real time, you have to actually bring the calculation to the point of data creation and data usage.”

Sandra Rivera

“Edge Computing is taking over the technology resources we’ve been developing for the computing industry for many years and using them to analyze and process data on Edge,” says McCoin. The concept of edge computing is to store data close to where it is generated and used-such as on the factory floor બદલે rather than in the cloud, which means it can be processed in real or near real time.

“If you want, or need to process data in real time, you actually have to bring the data calculation to the point of data creation and data usage,” explains Sandra Rivera, executive vice president and general manager of Datacenter. AI group at Intel. Not moving large amounts of data increases security, and reduces latency and increases reliability. And because data is kept more private, additional levels of data sovereignty are available when needed, McCoin adds.

Growing opportunities for 5G on the edge

As telecommunications operators continue to roll out 5G infrastructure, “there seems to be an opportunity because the data rate, the latency, the control you have over the 5G network means we can start using it for applications. Which we would not have before. Is considered suitable for cellular technology, “says McCoin.

In the Audi factory example, to control a robot arm in real time requires either a cable, wire, an Ethernet cable connected to it to ensure connectivity, the required data rate and low delay control – or it must be replaced with a wireless link, He says.

“Now imagine the robot moving around. You don’t really want the other robots to be behind the wire on the floor to move. You really like it as a wireless link,” says McConnell. “And the problem is, Wi-Fi hasn’t really gotten there yet in terms of the quality you want. 5G, especially private 5G, offers more reliable, much less latency, more controlled-by-software experience . ”

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