characters like Joey and Phoebe in Friends to the hamburger &
fries combo for foodies, the greatest and most powerful duos have existed
throughout the history of mankind. They may have a unique individuality but
when clubbed together boom! Together, says Dinesh
Soundararajan of Contus, they create an awesome and wonderful
AIoT: The powerful convergence of AI and the IoT | Insideaiml
perfect amalgamation of the Internet of Things (IoT) with Artificial
Intelligence (AI), together known as AIoT, is all geared up to give enterprises
the best of both worlds! This is backed up with recent research from researchandmarkets.com which states that by 2023, the global value
of IoT in embedded IoT devices market will grow to US$26.2 billion (€23.9 b
AIoT gives a competitive edge to IoT technologies
“AIoT in simple terms means to make the Internet of
Things perform intelligence tasks with the help of integrating Artificial
Internet of Things helps to connect IoT devices with sensors that are
with AI capabilities
– all of these with no human intervention.
Key factors of Artificial Internet of Things
That being said,
let’s see how these Artificial Internet of Things actually help the business
world move towards a next-gen transformation.
How does AIoT differ from IoT?
Are you wondering why
we need AIoT when the Internet of Things market is doing well across several
industries? Well, here is a quick look at the differences between these two
technologies. We can call AIoT the next version of IoT.
Benefits of AIoT to shape the future of your business model
“ In this era of 5G, the AIoT technology will only be enhanced
further where it will connect every object, people, and machines in a more
Having an intertwined relationship between IoT and AI will help
organisations move to the next level. Now that AI and IoT have individually
marked their presence in the digital world, many IoT app development
companies are moving towards AIoT for managing Internet of Things
connected devices with artificial intelligence techniques.
AIoT based on the business perspective
Let’s look at the advantages of AIoT for business:
➔ Intelligent business decisions
The data collected from millions of IoT devices is so massive it
makes it difficult to segregate and extract useful information from it. To
organise these unstructured data into a meaningful chuck of data, AI-based
algorithms are used to eliminate junk data and leverage any business model.
Now the chief technology officers (CTOs) and other decision-makers
can make firm business decisions based on the valuable insights retrieved from
➔ Enhanced operational efficiency
Smart automation surpasses the traditional approach by
streamlining the organisation’s processes. Several industries have implemented
these AIoT technologies to save on resources. For example, in office buildings,
smart environmental sensors provide data on how many people are safe inside the
premises. This includes fire, theft or any other warnings.
The integration of human facial recognition software and other
biometric access devices all facilitate remote monitoring of the physical
security of office buildings. Any unidentified personnel or abnormal activities
are swiftly recorded and alerts or notifications can be sent automatically to
the central hub.
AIoT based on the customer perspective
Let’s briefly look into the advantages of AIoT for customers:
➔ Delightful customer
Understand your customer’s behaviour and their challenges more
precisely with Artificial Internet of Things technology. For instance, the
surveillance camera is not only used to detect any thefts or crime, it also
helps to read the customer’s shopping pattern.
AIoT collects and correlates inventory data, such as which aisle
needs re-filling fast or where goods are fast-moving, and which aisle has seen
no customer visits at all. Hence, large organisations are able to predict the
customer’s habits more accurately and make it a more personalised experience
➔ Accurate predictions
Artificial Internet of Things provides next-level predictions to
get accurate results. One of the powerful use cases of AIoT is the autonomous
robot used for delivery. The robots have in-built sensors that collect and
store data retrieved from the IoT devices. It stores data like physical
addresses, direction details, and traffic information.
After collecting the data, the AI fed into the robot system
detects less congested routes and makes a smart decision by detouring to routes
where there is less traffic. Then, it delivers the package to the relevant
Several other industries have been implementing IoT data
visualisation techniques. These include office buildings with smart
environmental sensors and facial recognition software to get real-time data and
Practical applications of AIoT
DHL – A leading global logistics
“By 2028, DHL aims to build 10,000
IoT-enabled truck transportation vehicles. It says AIoT has reduced 50% of
their transit time with 90% reliability of real-time tracking.”
DHL leverages the innovative IoT solutions along with artificial
intelligence through Smart Trucking operations teams using an agile model where
it streamlines the businesses by creating a transportation model that decreases
the fatigue among the drivers, and helps them to spend less time on the road
and provide a better work-life balance.
Board member of DHL, Juergen Gerdes said in an interview, “We
expect to transport 100,000 tonnes of cargo and plan to cover 4 million
kilometres daily worldwide.”
WalMart – The largest retail chain in North America
With more than 11,000 brick and mortar models with equally
numerous online stores for each county or state, Walmart was able to pull it
off effortlessly with the help of AI and machine learning (ML) integrated with
the Internet of Things.
Facial recognition software, voice-based search by Google
Assistant and cross-technology solutions, have made this retail industry scale
up to higher revenues for several years.
London City Airport – travel & leisure industry
London City Airport was the first airport to make use of AI, the
Internet of Things and cross-technology networking to monitor every tiny detail
of travel to provide the passengers with informed data.
Cabin crew can now track the whereabouts of the passengers through
IoT devices, boarding queue traffic, can update gate information, track baggage
and so on.
Right from Industrial IoT (IIoT) protocols & Constrained
Application Protocol (CoAP) to Web Socket & application program interfaces
(APIs), Contus has a
solid IoT/IIoT Digital Engine model. Along with the Business Intelligence
solutions and IoT dashboard it helps to accelerate the business delivery
We help in leveraging the industry-focused IoT App development
solutions in a cost-effective way.
IoT with artificial intelligence has vast use cases across
industries, and it is purely dependent upon the organisation’s budget and goals
to align them perfectly to increase their productivity. These are one-time
investments that will yield them a life-long benefit. Get detailed analytics,
precise data processing, and automation techniques all in one place, all built
basically to give better results from bigger and meaningful data.