Internet of Things

far from the cloud or corporate data center.

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IoT data and artificial intelligence

IoT devices generate vast amounts of data; that might be information about an engine’s temperature or whether a door is open or closed or the reading from a smart meter. All this IoT data has to be collected, stored and analysed. One way companies are making the most of this data is to feed it into artificial intelligence (AI) systems which will take that IoT data and use it to make predictions.

For example, Google is an AI in charge of its data center cooling system. The AI uses data pulled from thousands of IoT sensors which is fed into deep neural networks, which predict how different choices will affect future energy consumption. By using machine learning and AI Google has been able to make its data centers more efficient and said the same technology could have uses in other industrial settings.

Google just put an AI in charge of keeping its data centers cool
IoT evolution: Where does the Internet of Things go next?

As the price of sensors and communications continue to drop, it becomes cost-effective to add more devices to the IoT — even if in some cases there’s little obvious benefit to consumers. Deployments are at an early stage; most companies which are engaging with the IoT are at the trial stage right now, largely because the necessary technology – sensor technology, 5G and machine-learning powered analytics- are still themselves at an reasonably early stage of development. There are many competing platforms and standards and many different vendors from device makers to software companies to network operators want a slice of the pie. It’s still not clear which of those will win out. But without standards and with security an ongoing issue we are likely to see some more big IoT security mishaps in the next few years.

As the number of connected devices continues to rise, our living and working environments will become filled with smart products — assuming we are willing to accept the security and privacy trade-offs. Some will welcome the new era of smart things. Others will pine for the days when a chair was simply a chair.

The future of digital will be human-centric and voice will reign supreme
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