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Broadcom software shows why the transition to the edge is accelerating in 2022

May 8, 2022

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By Andy Nalapan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software

In December 2021 Broadcom software publish our blog: Forecasts for 2022. We will now explore each of these predictions in more depth with this series of blogs. For this blog, our topic is peripheral computing.

The future has a way to quickly become the present.

Decades ago, when almost all centralized computing worked in data centers, companies he began to speak on how to speed up decision-making and reduce delays that have frustrated consumers (commonly referred to as ‘waiting around the world’). This problem has become more acute as the growing use of mobile and IoT devices has put new strain on existing Internet infrastructure.

The technological world is responding by focusing on a new model in which data storage and processing will take place as close as possible to the end user. This decentralization of computing power, known as peripheral calculations, progresses slowly; only in 2018 10% of corporate data was processed outside of cloud data centers.

Transition speed

But seemingly overnight, we have seen an increase in momentum – not least because of the proliferation of the Internet of Things and the need to close the growing gap between collecting data from equipment and using it to improve business.

Gartner is already calculating the percentage of data that is created and processed at the edge will reach 75% within the next 3 years, as more and more companies understand the benefits of moving computing resources to the physical location of data creation. The speed of this transformation is extraordinary and you can now find implementations essentially everywhere, with peripheral calculations expanding into different industries and applications. In fact, global peripheral spending is expected to reach $ 176 billion in 2022, an increase of 14.8% over last year, according to IDC.

Edge, AI and the future

Final computing solutions take many forms, and a big reason for their popularity is that deploying peripherals helps address uses that the cloud can’t. That is why edge finds a role in the development of autonomous vehicles, as well as in the remote monitoring of assets in the gas and oil industries. It also plays a key role in smart grids, where it can monitor energy use and analyze consumption, as well as in projected maintenance to proactively detect changes in production lines. before problems arise.

Think about the consequences for production sites of what is known as Industrial Internet of Things (IIOT). Insights based on Edge Computing will be able to help businesses reduce waste and also improve the overall quality of the product. And this will contribute to greater safety by detecting problems, allowing maintenance teams to recognize changes in factory conditions and then respond in real time.

Consider the example suggested by manufacturer of luxury cars Audi, which requires its production facilities to be fully loaded with IoT devices with low latency requirements. Each plant can produce 1,000 vehicles per day, with more than 5,000 welds per car. But that also means 5 million welds to inspect every day. The company has adopted an in-line inspection of each weld, in which the sensors of each welding gun are able to analyze the data around each weld; all this information is processed in real time at the edge.

All this scratches the surface when you think about the future, as companies combine peripheral computing with the power of artificial intelligence (AI) and machine learning (ML). This will happen when you take into account the heavy investments that companies are already making in AI. In fact, a McKinsey survey last year reported that half respondents said they have implemented AI in at least one business function. The appearance of Edge AIas it is called, many people are rightly excited about the prospects of an era marked by even faster calculations, improved data security and more efficient operational controls.