What is the Role of AI in IoT?

The
terms
AI
and
IoT
have
become
ubiquitous
and
emerged
as
the
most
prominent
highlights
of
the
future
of
technology.
Businesses
must
understand
the
role
of
AI
in
IoT
to
unlock
new
business
opportunities
across
industries.
For
example,
the
combination
of

artificial
intelligence
and

IoT
can
improve
customer
experiences,
boost
growth,
and
ensure
better
productivity
in
business
operations.
Statista
has
pointed
out
that
the
AI
market
might
grow
by
around
40%
by
June
2024.

On
the
other
hand,
the
IoT
market
also
expects
more
than
16
billion
new
connections
by
2024.
AI
and
IoT
can
create
a
smart
future
in
which
machines
don’t
just
work
by
following
the
instructions
fed
to
them.
You
may
think
of
a
robotic
utopia
in
the
future
that
would
grow
on
the
foundation
of
artificial
intelligence
and
Internet
of
Things.
Let
us
learn
more
about
the
significance
of
AI
in
IoT
with
examples.

What
is
the
Importance
of
AI
for
IoT?

Before
you
try
to
uncover
the
hidden
potential
of
the
combination
of
AI
and
IoT,
you
must
know
about
both
technologies.
You
can
develop
a
better
understanding
of
the
application
of
AI
in
IoT
by
figuring
out
the
potential
of
each
component
of
the
combination.

Artificial
intelligence
refers
to
the
simulation
of
human
intelligence
in
machines
that
can
enable
them
to
learn
autonomously,
reason,
and
perform
tasks.
AI
uses
different
technologies,
such
as

machine
learning,

NLP,
computer
vision,
and

deep
learning,
to
process
massive
datasets,
make
pattern
recognition,
make
predictions,
and
take
relevant
actions
on
the
basis
of
valuable
insights. 

On
the
other
hand,
Internet
of
Things
or
IoT
is
a
network
of
devices
connected
to
each
other.
The
devices
have
software,
connectivity
features,
and
sensors
that
help
them
collect
and
transfer
data,
thereby
enabling
communication
between
them
and
the
physical
world.
The
importance
of
artificial
intelligence
in
IoT
revolves
largely
around
the
diversity
of

IoT
applications.
IoT
applications
in
healthcare,
smart
homes,
agriculture,
industrial
automation,
and
transportation
have
proved
how
artificial
intelligence
can
take
IoT
applications
to
the
next
level.

The
growing
number
of
IoT
devices
also
offers
new
possibilities
for
generation
of
more
data.
With
more
than
29
billion
IoT
connections
expected
by
2030,
artificial
intelligence
can
play
a
formidable
role
in
enhancing
IoT
networks.
IoT
networks
can
collect
and
manage
large
amounts
of
data
that
can
serve
as
inputs
for
AI
algorithms.
Subsequently,
AI
algorithms
can
use
the
data
of
IoT
devices
to
serve
actionable
insights.

Want
to
understand
the
fundamentals
of
the
Internet
of
Things
(IoT)?
Enroll
now
in
the IoT
Fundamentals
Course!

How
Can
Artificial
Intelligence
Work
for
IoT?

Internet
of
Things
and
artificial
intelligence
are
transforming
each
other
with
their
unique
advantages.
The
combination
of
AI
and
IoT
brings
useful
insights
to
the
table
for
businesses
with
prospects
for
using
AI
to
enhance
existing
IoT
applications.
You
can
find
answers
to
the
question
“What
is
the
use
of
AI
in
IoT?”
by
referring
to
examples
such
as
the
Nokia
production
site
in
Finland.
The
production
facility
utilized
intelligence
automation
and
digital
twins
to
achieve
better
productivity
and
faster
time-to-market.

The
merger
of
AI
with
IoT
can
introduce
unique
functionalities
in
the
form
of

AIoT
or
artificial
intelligence
of
things.
AI
can
replicate
human
intelligence
in
machines,
and
IoT
serves
as
a
strong
connected
infrastructure
for
information
exchange.
Therefore,
the
combination
of
the
two
technologies
helps
with
effective
analysis
and
interpretation
of
data
rather
than
just
collecting
and
transferring
the
data.
On
top
of
that,
the
AI
and
IoT
interplay
can
also
enhance
IoT
operations,
data
analytics,
and
user
interactions. 

The
overview
of
individual
IoT
and
AI
examples
would
show
glimpses
of
what
they
can
achieve
independently.
However,
AI
can
add
value
to
IoT
by
leveraging
new
features
for
decision-making
and
machine
learning.
On
the
other
hand,
IoT
can
improve
AI
with
the
help
of
data
exchange,
connectivity,
and
signaling.
Here
are
the
steps
that
can
explain
how
AI
would
work
for
IoT.

• 
  IoT
  devices,
  including
  cameras,
  industrial
  machines,
  sensors,
  and
  wearables,
  collect
  data
  continuously
  and
  transfer
  it
  to
  cloud
  platforms
  or
  centralized
  servers. 
• 
  In
  the
  next
  step,
  AI
  algorithms
  help
  analyze
  data
  collected
  by
  IoT
  devices
  to
  identify
  patterns,
  anomalies,
  and
  correlations. 
• The
  discussions
  about
  IoT
  and
  AI
  future
  also
  emphasize
  how
  the
  combination
  of
  the
  two
  technologies
  can
  lead
  to
  comprehensive
  data
  analysis.
  AIoT
  systems
  can
  use
  the
  insights
  extracted
  from
  data
  analysis
  to
  provide
  valuable
  recommendations
  that
  can
  empower
  autonomous
  decision-making.
• 
  Subsequently,
  AIoT
  systems
  can
  take
  different
  types
  of
  actions
  as
  a
  response
  to
  the
  insights
  derived
  from
  data
  analysis.
  On
  top
  of
  that,
  AIoT
  systems
  can
  also
  use
  continuous
  learning
  mechanisms
  to
  achieve
  performance
  improvements
  over
  time. 

What
are
the
Advantages
of
Using
AI
in
IoT?

You
can
find
a
better
answer
to
“What
is
the
use
of
AI
in
IoT?”
by
exploring
the
benefits
of
combining
the
two
technologies.
Businesses
look
for
opportunities
to
combine
AI
and
IoT
for
benefits,
such
as
enhancing
customer
engagement,
operational
efficiencies,
and
top-line
growth.
Here
is
an
outline
of
the
most
noticeable
benefits
of
combining
AI
and
IoT.

• 
  Real-time
  Use
  of
  Data

The
combination
of
AI
and
IoT
supports
real-time
analysis
of
data
generated
and
collected
by
IoT
devices.
You
can
clearly
identify
the
role
of
AI
in
IoT
by
exploring
how
artificial
intelligence
enables
real-time
data
analysis.
It
can
offer
faster
responses
and
access
to
insights
through
immediate
processing
of
sensor
data
by
AI
systems.
Real-time
data
analysis
can
ensure
better
productivity
and
efficiency
in
different
areas,
such
as
predictive
maintenance,
supply
chain
optimization,
and
quality
control.

• 
  Better
  Security
  and
  Risk
  Management 

IoT
networks
can
leverage
the
power
of
AI
to
achieve
promising
improvements
in
security
and
risk
management.
For
example,
AI
can
help
in
detection
of
strange
activities
and
malicious
patterns,
followed
by
triggering
responses
to
breaches.
The
different
IoT
and
AI
examples
show
that
AI
systems
can
use
data
obtained
from
cameras
and
enable
real-time
analysis
to
detect
intrusions.

On
top
of
it,
AI
in
IoT
can
also
improve
privacy
protection
by
leveraging
secure
communication
protocols
and
data
encryption.
Stronger
authentication
mechanisms
with
the
combination
of
AI
and
IoT
can
ensure
that
authorized
users
can
only
access
sensitive
information.

• 
  Personalization
  of
  User
  Experience 

The
prospects
for
IoT
and
AI
future
also
extend
toward
new
opportunities
for
personalizing
user
experiences.
AIoT
can
help
in
achieving
contextual
applications
according
to
preferences
and
behavior
of
users.

For
example,
AI
systems
can
learn
the
temperature
and
level
of
lighting
preferred
by
homeowners
with
IoT
devices.
As
a
result,
they
can
ensure
automatic
adjustments
in
temperature
and
lighting
according
to
different
times
of
the
day.
Furthermore,
intelligent
systems
also
offer
personalized
recommendations
through
comprehensive
data
analysis
to
achieve
better
customer
satisfaction. 

• 
  Resource
  Optimization
  and
  Automation

Artificial
intelligence
also
helps
in
effective
optimization
of
resource
management
in
IoT
networks
in
different
ways.
The

application
of
AI
in
IoT
can
also
ensure
optimization
of
electricity
consumption
through
adjustment
of
lighting
and
heating
systems
on
the
basis
of
occupancy
in
smart
homes.

In
the
case
of
industries,
artificial
intelligence
in
IoT
networks
can
empower
predictive
safeguards
for
machines
and
systems.
Furthermore,
applications
of
AI
in
IoT
in
industrial
settings
also
enable
streamlining
of
business
operations
through
automation
of
routine
tasks.
For
example,
the
use
of
AIoT
in
a
warehouse
can
facilitate
automated
inventory
control
and
order
fulfillment. 

Understand
the
actual
potential
of
AI
and
the
best
practices
for
using
AI
tools
with
the AI
For
Business
Course.

What
are
the
Potential
Applications
of
IoT
and
AI
in
future?

The
combination
of
AI
and
IoT
brings
some
unique
surprises
for
everyone,
including
the
general
public
and
industries
worldwide.
However,
the
impact
of
artificial
intelligence
in
IoT
can
also
be
perceived
as
a
trend
that
will
fade
away
soon.
Therefore,
it
is
important
to
identify
the
areas
where
AI
and
IoT
can
achieve
crucial
benefits
for
users
and
businesses.

The
interplay
between
AI
and
IoT
can
empower
smart
cities,
environmental
monitoring,
agriculture,
and
education.
For
instance,
the
integration
of
AI
with
IoT
can
create
smart
cities
with
the
assurance
of
improved
functionalities.
Smart
cities
can
use
AI
and
IoT
for
energy-efficient
buildings,
improved
public
utilities,
and
intelligent
traffic
management. 

You
can
notice
a
prominent
example
of
combining
AI
with
IoT
in
the
case
of
Nest
Labs.
The
company
has
designed
smart
thermostats
to
offer
better
convenience
to
users.
Smart
thermostats
utilize
IoT
to
monitor
temperature
and
relevant
controls
effectively
by
utilizing
smartphone
integration. 

Another
notable
example
that
shows
the
road
to
a
better
IoT
and
AI
future
is
that
of
Tesla
and
its
self-driving
cars.
With
the
power
of
AI
and
IoT,
all
of
Tesla’s
self-driving
cars
would
work
like
a
connected
network.
As
a
result,
information
learned
from
one
Tesla
car
can
help
in
drawing
predictions
about
traffic
levels
and
behavior
of
pedestrians
in
different
scenarios.

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new
ways
to
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the
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potential
of
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AI
in
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use
cases
and
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expert
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AI
technologies
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AI
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Path

Final
Words 

The
use
of
AI
in
IoT
can
open
new
opportunities
for
the
growth
of
technology.
As
AI
emerges
as
a
powerful
tool
for
automation
and
extracting
valuable
insights,
it
can
empower
IoT
networks.
The
answers
to
‘What
is
the
use
of
AI
in
IoT?’
point
to
the
ways
in
which

artificial
intelligence
can
become
a
game-changer
for

IoT.
Interestingly,
the
proven
use
cases
of
AIoT
in
different
industries
showcase
that
businesses
can
achieve
promising
benefits
by
combining
the
two
technologies.
Learn
more
about
AI
and
IoT
to
discover
the
best
practices
for
using
them
together
right
now.