Taking the edge off Industry 4.0
~ Why edge analytics should be part of an IIoT strategy ~ In a 2019 report from Forrester, 69 per cent of decision makers said that prioritising edge Internet of Things (IoT) processes would improve their ability to meet IoT objectives. And they aren’t wrong. Eventually, it won’t be possible for all data to be stored and monitored in the cloud — this is where edge analytics offers an olive branch. Here, Johan Jonzon, CMO and Co-Founder of pioneer in edge analytics for the Industrial Internet of Things (IIoT) Crosser, looks at why edge analytics should be a key part of an IIoT strategy in manufacturing. Gartner predicts that, by 2025, more than 75 per cent of enterprise-generated data will be created and processed outside the traditional data center or cloud. Gaining access to relevant data in a central location, either a cloud or a data center, is key to making changes and meeting business objectives. Companies must therefore ensure data is received in a faster, more secure and cost-effective way by making edge analytics a key part of their IIoT strategy. Edge systems hold numerous benefits for the manufacturing industry. Relevant data can be transmitted from the edge so that businesses can act on insights in real-time. The reduced distance between the server and end-user enables quicker data analysis and decision-making. In addition to delivering faster insights, the sheer volume of data that connected devices are creating is making edge analytics a necessity. According to International Data Corporation (IDC), “every connected person in the world will have at least one digital data interaction every 18 seconds”. If we consider just how many IIoT devices are available in a smart manufacturing plant, we can quickly see why manufacturing needs the edge. Strategy on the edge Manufacturers must manage all their devices […]