How AI Is Transforming IoT




AI and IoT are the two most buzzing technologies that are the topic of discussion within the IT industry lately. These two technologies initially had nothing to do with each other, the former was conceptualised in the early 1930s while the latter around 2000s.

AI when introduced was a simulation of human intelligence
on machines, which opened possibilities of developing complex algorithms and
performing tedious calculations on a high computing powered machine. The
application of AI can be encountered in Medicine, Manufacturing Industries,
etc.

A study from Gartner predicts that by next year more than
65% of enterprises are going to introduce IoT in their products and by 2020
more than 20 billion things are going to be connected to the internet. Such an
enormous increase in the number of connected devices requires infrastructure
and additional technologies which facilitate and supports it. The birth of IoT
as an idea could be said that was in the packaging and retail industry and now
it has entered our homes, which tells us that it has wide range of
applications.

With the growing interest in these two technologies offers
a possibility of bringing them together for a better cause. In order to realise
this combination it is important to understand how these two can be harmonised
and applied in different areas.

Let’s take an example in an assembly line, where a
dismantled product needs to be assembled over conveyor belt and robotic arms.
This scenario has two models which are connected to multiple sensors, plus they
must perform image recognition, data processing and decision-making, which
cannot be achieved with just one technology. This use case involves a whole lot
of data which can be considered as an input to a program or an algorithm which
is just responsible for Image recognition, then another algorithm responsible
for processing of the collected data from the image sensors and at the end an
algorithm which makes a decision whether the end product is ready for packaging
and delivery. This further goes towards packaging area and from that point
onwards must be tracked till it reaches the end customer.

This simple use case tells us that right from the beginning
till the end that means in the complete lifecycle of the product, certain
points are very critical for example complex algorithms running on dedicated
computers and robots, data processing and decision making in the absence of
humans and the most important point is most of these activities are monitored
and stored over the internet. Such a use case can be said is a great example
where AI and IoT can go hand in hand. Such use cases also show how big of a
role AI will play in realising IoT on a bigger scale.

As every technology has many applications to it, they also
come with some big challenges. If we take a look at AI it requires great amount
of computing power when complex calculations are supposed to be performed. With
growing need of AI, different aspects surrounding it has to be also considered.
The question which needs to be answered are like how it does not affect the
labour force in the industries but increases the efficiency in their work, do
we have complete control of the AI and it’s behaviour. Concerns like these
needs to be addressed at an early stage.

On the other hand IoT has its own challenges like keeping
the network of things secure, compatibility between the different IoT
platforms, integration of hardware platforms with different software platforms
and so on.

These technologies can be said are ripe in their fields and
more research and time needs to be put in by the IT industry. As it can be seen
there are many obstacles to overcome, when it comes to these two different
technologies but still there is a big potential and a better future by merging them.

A synergy between these two complex worlds has to be identified incoming. The sooner it is recognised the better it is. For tech firms obviously it brings more revenue in terms of business and efficiency with respect to time and production. This is the right time to leverage the advantages of these two giant technologies.

The IoT Tech Expo World Series is the tech event to learn more about IoT and convergent technologies. It’s co-located with Ai & Big Data Expo, Cloud & Cyber Security Expo, 5G Expo and Blockchain Expo.

The 2020 World Series features events in London, Amsterdam and North America.

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Original article: How AI Is Transforming IoT
Author: Megan Davis