How does IoT and AI interact?

The rate of internet connectivity increases tremendously every year and so does the number of devices connected. As estimated, by 2020, there will be about 31 billion devices connected through the internet. It is the internet that facilitates harmonious cooperation among the connected devices. However, there is still more needed than just the internet.

Devices connected within the Internet of Things can be controlled or even sensed remotely across an existing network infrastructure when the devices are augmented with actuators and sensors. This creates a possibility for an increased direct merging of the real world into computerised systems.
Consequently, this leads to higher levels of accuracy, efficiency, economic benefit and reduced human intervention. With reduced human intervention, the connected devices have to work perfectly just like a human would, or even better. Therefore, for this to be possible, Artificial Intelligence has to be assimilated.

The Purpose of Artificial Intelligence

There is a greater need for a robust technology platform to ensure that multiple technologies and service layers work in unity to form ubiquitous and ultra-connected experiences. This will need years to achieve and the robust technology involved still has to be powered by artificial intelligence. 

The internet of things is already working well; data can be easily collected through the connected sensors on devices. However, it would make more sense if the data from the connected devices would be used collectively and develop an ecosystem for shared monetization of data.
This can be made possible through the use of artificial brains. Merging AI and IoT can create a linked system of things which can be used on a daily basis. This can end up building an industry-wide ecosystem where data obtained from the connected devices are able to be shared and also monetized by all users.

How AI Supports IoT

Data from the internet of things is leveraged for a valuable motive which involves allowing people and the connected devices to act according to the data that has been analyzed and visualized. This takes place in two ways:
  • One, from the device, the data collected will need a response, that is, an intelligent action.
  • Two, this data that can be acted on needs action from something or within the thing.
The data in most cases needs support, hence has to be leveraged along with ‘other’ or more data. Apparently, these are the fundamental factors that run the connection of things.
Further, with big data visualization and analytics, we are practically involving artificial brains in environments and applications that are more complex. If sense cannot be found in the data, then there is no point in getting it.
It is, therefore, important to note that, apart from the human brain, it is AI that can actually make sense of loads of combined data.

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