The
internet of things is way ahead and
gaining worldwide attention due to incredible advancements in it as time
passes. The data is becoming more than the size of a Hulk due to the numerous
connected data endpoints which give the most unparalleled insights. So, the
question arises how we can tap the most of this generated data from all
possible data streams? The answer is Artificial
Intelligence – the new concept is the internet of intelligent things.
So, what are intelligent
things?
We
all know about the internet of things technology as it has become well known. IoT
mentions the billions of Internet-connected
devices all over the world. But, the whopping numbers of data that is
continuously streaming through these devices is a considerable task to handle.
So, here is where the internet of intelligent things saves our burden.
Earlier,
experts have said that there should be more work on the utilisation of the internet of things where artificial intelligence would help in
building better solutions. So, in recent years it has been pretty clear that
IoT networks become more intelligent when combined with other autonomous
technologies like machine learning and artificial intelligence. AI makes higher use of the extensive
connectivity and more significant data streams which IoT devices can handle well.
What are the benefits that
the AI provides?
Different
solutions exist which can evaluate and understand IoT data, but machine learning and artificial
intelligence can draw more detailed insights from this data and plan
rapidly. Artificial intelligence can spot unusual patterns with higher accuracy
with computer vision and audio recognition, thus, removing the need for a human
reviewing system. Almost every business is aware of the benefits of IoT, but the enormous advantages of
intelligent things are emerging right now. Enterprises can operate in
unparalleled ways with intelligent things, consider three examples below –
Quicker responses
It
is evident that the internet of things
can help businesses in monitoring the operations at a detailed level and having
deep insights into the daily activities of differently-sized companies.
Nevertheless, there cannot always be a rapid reaction to this enormous data.
With the help of artificial intelligence, businesses can be quick in reacting
to the situations because AI
crunches data at a faster rate and deeper perception.
Consider
the example of Fujitsu has shown the use of intelligent things by getting
alerts when the workers’ productivity drops, the reason being the heat stress.
Many
banks can evaluate AI-enabled real-time data of usage of ATMs, with the
analysis of automated CCTV footage. This analysis can result in tracking the
fraud transactions and fraudsters.
Preventing failures and
doing early maintenance
Industries
can easily and quickly respond if any equipment fails. They don’t have to rely
upon any human inspector or supervisor to notify them of any mishap, or any
failure in a piece of equipment. All these happenings are reported promptly and
the site gets an instant response. In fact, the AI-powered IoT technology can
prevent the mishaps or failures from happening.
Consider
the example of an Australian utility organisation. It is harnessing the power
of prediction-based analytics which can use IoT data streams for predicting which reasons can cause a failure
in an equipment/device. This helps in reducing the costs of heavy repairs by
taking preventive actions early.
Upgraded level of
efficiency
The
vast number of data streams that IoT
endpoints provide allows businesses to measure the performance of every
component in depth. But, if someone needs to tap knowledge from all these
streams at a faster rate, then intelligent computing is the answer.
Now,
here consider Rolls Royce for example. It is using AI-powered computing for
analysing the data coming from aircraft engines. With this data, Rolls Royce
can make modifications in design and operations to reduce fuel consumption and
get powerful performance.
Utilising the internet of
intelligent things
It
is crystal clear that IoT endpoints
can give real-time data groups that bring superb advantages for businesses in a
wide array of sectors. But, leveraging this data to acquire benefits is the
real challenging task.