Internet of Things data will help us predict the future

The Internet of Things – a network of of physical devices that are connected digitally – can translate physical properties into digital data, which can be sent anywhere in the world, and processed at light speed.In the next five years, 20 billion devices are expected to be connected to the Internet of Things, revolutionising business models and marketing strategies and impacting businesses globally.

Real-time marketing is already growing, as companies aim to provide individualised customer experiences. The Internet of Things makes it possible to design products that can inform all aspects of your business in real time. Customer feedback can be generated from the products themselves; thereby measuring the success of marketing strategies and providing valuable insights for product development and design.

The Variety of Things

While most of this data is incredibly useful, until now it was, by and large, retrospective. It was telling a story of the past and, in most cases, only updated monthly, bi-annually or yearly. Real-time data feeds are revolutionary, as researchers at the US Array of Things describe:

“What if a light pole told you to watch out for an icy patch of sidewalk ahead? What if an app told you the most populated route for a late-night walk to the El station by yourself?”

The Array of Things recently received a grant from the US National Science Foundation and will be providing real-time data from the streets of Chicago. This data will be captured, block-by-block, by sensors which measure light, sound and air quality among other things. The data will be made available to the public at no cost.

Chicago will make data about the city available to everyone. Giuseppe Milo via Wikimedia Commons

There is a map that shows the location of 42 nodes which will be installed through the city, beginning in Summer 2016. A total of 500 AoT nodes will be installed in Chicago by 2018.

Predicting the future

For many years, scientists have been mining server logs and the textual content of web pages, facilitating better web personalisation and predicting users’ future requests. In this context, what people are searching for is predictive of what they will do in the future.

Unlike other data sources, machines – i.e. connected devices within the Internet of Things – can be programmed to produce clean and consistent real-time data feeds. That’s data that scientists and others can use to predict the future, going beyond correlation and contemporaneous events.

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