Where to next for the Internet of Things?

JEREMY COWAN | March 1, 2016

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Jeremy Cowan, editorial director of M2M Now, looks at what lies in store in 2015 for the Internet of Things.

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Why You Need Contextual IoT Device Management

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In my previous post, I gave an explanation of basic IoT device management and why it’s insufficient for certain kinds of massive-scale IoT deployments. In addition to basic IoT device management, contextual IoT device management is necessary to ensure success when dealing with IoT solutions involving thousands to millions of devices. In this post, I explore some of the key aspects of contextual IoT device management, with real examples that demonstrate why you need to manage devices contextually if you’re building, buying, and/or implementing massive-scale IoT solutions.

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Four ways to ensure IoT success

Article | February 13, 2020

Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.

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IoT Security: Inherent Risks Require Robust Solutions

Article | February 13, 2020

IoT technologies offer many remarkable benefits. They can make complicated tasks, such as tracking a fleet of thousands of vehicles, monitoring and adjusting manufacturing processes or automating a smart home or office simpler, easier and more cost-effective than ever before. By inviting IoT devices into our homes, workplaces and public spaces, however, we also expose new attack surfaces. When we assign an IoT system to be responsible for a critical task or trust it to monitor sensitive information in our most private spaces, we want to ensure that the system can be trusted. For this reason, it is vital that security best practices are applied at all stages when developing an IoT solution.

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Which IoT Applications will Benefit Most from Edge Computing?

Article | February 13, 2020

Edge computing refers to information being processed at the edge of the network, rather than being sent to a central cloud server. The benefits of edge computing include reduced latency, reduced costs, increased security and increased business efficiency. Transferring data from the edge of a network takes time, particularly if the data is being collected in a remote location. While the transfer may usually take less than a second, glitches in the network or an unreliable connection may increase the time required. For some IoT applications, for example, self-driving cars, even a second may be too long. Imagine a security camera that’s monitoring an empty hallway. There’s no need to send hours of large video files of an empty hallway to a cloud server (where you will need to pay to store them). With edge computing, the video could be sent to the cloud only if there is movement detected in the hallway.

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