Google the word “connectivity” and you’ll be presented with thousands of web pages on the issues and challenges associated with a more connected world. However, it’s important to recognise how to embrace the benefits too. As connected devices proliferate, so too do their capabilities – real-time decision-making is becoming more important than ever before if we’re to make smarter, more informed decisions. This is why our cloud computing architectures need to be able to handle rapid data transactions – but, currently, they are too centralised.
As a result, we’re seeing the current movement of computational capacity, away from the cloud and onto the edge.
Enter: Edge computing
Edge computing is undeniably one of the biggest developments in the blossoming Internet of Things (IoT) sector to date. In fact, McKinsey’s top trends list reports that in many industrial sectors, particularly those with mobile and remote assets like in the oil and gas industry, analysing data at the edge may be more cost-effective than moving data from the edge. This allows analytical decisions to be made in real time.
Edge computing therefore presents the opportunity for businesses to make large-scale decisions, by analysing data procured at the edge – at the edge. Real-time insights like these improve both speed and accuracy by removing the need to stream all data from the edge back into the enterprise or cloud. As such, organisations need to push their analytical computer power further out to the edge, if they are to reduce their costs.
What’s more, edge computing is set to grow. Predictions from McKinsey suggest that it will represent a potential value of $175B – $215B in hardware. Before we know it, edge will be all around us. Tech companies are disrupting the sector and those opting to move to the edge will be able to make smarter decisions,

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