The speed at which the enterprise has embraced IoT infrastructure has been impressive. But with most deployments still in a nascent stage, many organizations are only just now starting to encounter some of the challenges associated with scaling up to production levels.
According to Strategy Analytics, nearly 70 percent of businesses have deployed IoT solutions, and that is expected to increase to 80 percent within the year. But as Datamation’s Pedro Hernandez points out, many organizations are struggling with the analytics side of the equation. While gleaning insight into complex environments is the main driver of IoT, it isn’t always easy to determine exactly how the analytics should be done. As the data coming into the enterprise mounts, so too will the complexity of the analytics process, which can deliver vastly different results based not only on what data is collected and how it is conditioned it but what questions are asked and even how they are phrased.
Perhaps not altogether surprising, the most effective use of IoT is not happening in the enterprise or in commercial operations but on the manufacturing floor, says tech journalist Chris Neiger. Recent research from BI Intelligence shows that industrial manufacturers are well ahead of verticals like banking, telecom and energy in their deployment of IoT solutions. The field is being led by General Electric, which is leveraging IoT for everything from industrial assembly lines to navigation and fuel management systems. Company executives say an IoT-supported Industrial Internet could contribute $10 trillion to $15 trillion to global GDP in the next two decades.
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