How to Leverage AI in IoT App Development for Smarter Automation

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How to Leverage AI in IoT App Development for
Smarter Automation
Internet of Things is an unstoppable
technological phenomenon, that is expanding at a
breakneck speed, surprising one and all. In the
year 2022, businesses spent more than 200
billion on different IoT applications and
platforms, which showcase an impressive growth
rate of 21.5. Its estimated that there will be
more than 25 billion interconnected IoT devices
in the next 5 years. At the same time,
automation is picking up across all vertices and
industries, across the world. Already, the
process and industrial automation market have
crossed the 220 billion threshold, and out of
that, industrial automation is about to breach
the 500 billion mark by 2023, globally.
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With the emergence of Industry 5.0, the concept
of connected automation is picking up pace,
which includes industrial automation, smart home
automation, smart city, wearables, and more. If
we combine the might of IoT with the charisma of
automation, then we can visualize a stunning,
daring future, which changes everything. And on
top of that, if we add Artificial Intelligence
into this whole gamut, then prospects become
more exciting! With the release of ChatGPT, which
is based on the Natural Language Processing
model, machine learning has taken a giant stride
toward automating a ton of business and
industrial processes. In this blog, we will
explore the possibilities of leveraging AI in IoT
app development, which triggers smarter,
intelligent automation for businesses,
corporates, industries and sectors, and induces a
never-seen-before innovation and inspiration.
What is IoT App Development?
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In laymans terms, an IoT app is an application
that connects to and controls one or more
devices through the internet. These devices can
be anything from smart thermostats to connected
refrigerators, and they are typically controlled
through a smartphone or other internet-connected
device. IoT app development is the process and
journey of creating such applications. Now,
lets take a closer look at how AI can be used in
IoT app development to create smarter
automation. Why We Deploy AI For IoT App
Development? If you are wondering why mobile app
engineers at our IoT App development company
deploy AI, then here are some reasons Better
decision-making AI algorithms can process large
amounts of data in real-time, allowing IoT apps
to make better decisions based on the current
situation. Predictive maintenance Powerful AI
algorithms can analyze data from connected
devices to predict when a device is likely to
fail. This can help prevent costly downtime and
ensure that devices are always functioning at
their best. Personalization AI can be used to
create personalized experiences for users by
analyzing their behavior and preferences. Voice-ac
tivated control Integrating voice recognition
technology into IoT apps can make it easier for
users to control their connected devices. This is
especially useful for people with disabilities
or mobility issues. Improved energy efficiency
By analyzing data from connected devices, AI
algorithms can identify areas where energy can be
saved. In short, the usage of AI can make IoT
applications more intelligent, efficient, and
user-friendly.
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Smarter Intelligent Automation With AI-
Powered IoT Apps Top Use Cases Automated
Predictive Maintenance With AI- Powered IoT One
of the most significant benefits of IoT
technology is its ability to gather data from
connected devices in real time. This data can
then be analyzed to identify patterns and trends
that can be used to predict future behavior. By
leveraging the power of AI, IoT apps can use this
data to predict when a device is likely to fail,
and take action before it does. For example,
lets say you have a smart refrigerator that is
connected to the internet. By analyzing the data
from the refrigerators sensors, an AI-powered
IoT app could detect when the compressor is
starting to wear out and needs to be
replaced. The app could then automatically order
a replacement part and schedule a service
appointment with a technician before the
compressor fails, saving you time and
money. Another example can be an AI-powered app
for a factory that could predict when a machine
is likely to fail and schedule maintenance before
it causes a production halt. Automated Energy
Management With AI Iot Apps AI-powered IoT
apps can help users manage their energy
consumption more efficiently by analyzing data
from connected devices, such as smart thermostats
and smart lighting systems.
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These apps can learn a users behavior and
preferences and adjust the devices accordingly
to save energy. For example, our IoT app
development company can create an AI-powered
smart thermostat that could learn when a user
typically leaves their home and automatically
adjust the temperature to save energy while the
user is away. Personalized Experiences On
Auto-Pilot Mode With AI IoT AI can also be
used in IoT app development to create
personalized experiences for users, on an
auto-mode. By analyzing data from connected
devices, an AI-powered IoT app can learn about a
users behavior and preferences and tailor the
apps functionality to their needs. For
example, lets say you have a smart home security
system that is connected to an AI-powered IoT
app. The app could learn your routine and
preferences for when and how the security system
is used. It could then automatically arm and
disarm the system based on your location and
schedule, making your home more secure and
giving you peace of mind. Smart Automated Home
Security AI-powered IoT apps can provide smarter
and more intelligent security solutions for
smart homes. These apps can learn a users
behavior and preferences and adjust the security
devices accordingly. For example, an AI-powered
smart home security system could learn when a
user typically arrives home and automatically
disarm the security system. Intelligent
Automated Vehicles
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AI-powered IoT apps can enable autonomous
vehicles by analyzing data from connected
devices, such as cameras and sensors. These apps
can learn how to navigate roads and make
decisions based on real-time data. For example,
an AI- powered autonomous vehicle could detect
obstacles on the road and adjust its route
accordingly. If you wish to explore more
possibilities with AI-powered IoT applications
that can turbocharge your business and enable
you to edge past your competitors, then connect
with AppStudio the most recommended app
development company, and take the first step
towards innovation and disruption.
SOURCE https//www.appstudio.ca/blog/how-to-lever
age-ai-in-iot-app- development-for-smarter-automa
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