A Deep Guide on Artificial Intelligence of Things (AIoT)?

Internet
of
Things
or
IoT
refers
to
the
network
of
interconnected
devices
and
machines
that
can
ensure
data
transmission
without
human
intervention.
Over
the
course
of
the
last
decade,
IoT
has
led
to
significant
changes
in
the
approaches
for
business
operations
and
personal
tasks
in
people’s
everyday
lives.
At
the
same
time,

AI
has
emerged
as
a
formidable
force
for
transformation
in
the
domain
of
technology. 

Therefore,
discussions
about
artificial
intelligence
of
things
AIoT
have
been
gaining
momentum.
The
convergence
of
artificial
intelligence
and
Internet
of
Things
leads
to
the
formation
of
AIoT.
However,
it
is
also
important
to
note
that
people
are
likely
to
be
curious
about
the
ways
in
which
AI
and
IoT
can
complement
each
other.
Let
us
learn
more
about
the
working
mechanism
of
AIoT
and
its
benefits
and
applications
in
the
real
world.

Combining
Two
Powerful
Technologies
with
AIoT

The
best
approach
to
understanding
the
significance
of
artificial
intelligence
of
things
involves
unraveling
its
definition.
You
can
find
better
explanations
for
queries
like
“What
is
the
artificial
intelligence
of
things?”
by
identifying
the
advantages
of
its
integral
components,
AI
and
IoT.
Artificial
intelligence,
or
AI,
is
a
crucial
discipline
in
computer
science
that
focuses
on
developing
smart
systems
capable
of
simulating
human
intelligence.

AI
can
empower
machines
to
perform
tasks
like
humans,
such
as
understanding,
perception,
and
reasoning.
Internet
of
Things
or
IoT
refers
to
a
network
of
connected
devices
or
objects
capable
of
real-time
data
collection
and
transfer
through
sensors
or
software. 

With
artificial
intelligence
of
things,
you
can
combine
the
powers
of
AI
and
IoT.
As
a
result,
AIoT
can
help
in
creating
new
systems
that
can
leverage
AI
capabilities
for
processing
the
data
collected
and
generated
by
IoT
systems.
The
power
of
AIoT
applications
revolves
around
combining

machine
learning
models
with
connectivity
and
data
transfer
features
with
IoT.
By
incorporating
AI
in
IoT
systems,
the
systems
would
no
longer
work
only
on
collection
and
transfer
of
data.
IoT
systems
can
leverage
the
capabilities
of
AI
for
in-depth
understanding
and
analysis
of
the
data
they
collect
and
generate.

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

Working
Mechanism
of
Artificial
Intelligence
of
Things 

The
next
important
aspect
of
any
guide
to
artificial
intelligence
of
things
is
the
overview
of
its
working
mechanism.
Most
of
the
artificial
intelligence
of
things
examples
prove
that
AIoT
devices
work
by
embedding
AI
in
infrastructure
components.
The
infrastructure
components,
including
chipsets
and
programs,
are
connected
to
each
other
in
IoT
networks.

On
top
of
that,
AIoT
systems
utilize
APIs
to
ensure
seamless
operation
and
communication
between
hardware,
platform
components,
and
software.
Upon
becoming
operational,
IoT
devices
would
collect
data,
and
AI
would
analyze
the
data
to
extract
valuable
insights.
The
workings
of
AIoT
also
draw
attention
to
the
two
common
approaches
for
setting
up
AIoT
systems.
Here
is
an
overview
of
the
two
prominent
implementations
of
AIoT
systems. 

• 
  Cloud-based
  AIoT

The
first
AIoT
example
that
you
must
consider
to
understand
the
workings
of
artificial
intelligence
of
things
is
cloud-based
AIoT.
Cloud-based
IoT
involves
collection
and
processing
of
data
from
IoT
devices
through
cloud
computing
platforms.
It
is
important
to
connect
IoT
devices
to
the
cloud
as
it
serves
as
the
ideal
place
for
storing,
processing,
and
accessing
data
for
different
applications
and
services.

The
four
important
layers
in
cloud-based
AIoT
systems
include
device
layer,
connectivity
layer,
user
communication
layer,
and
cloud
layer.
With
the
device
layer,
you
can
find
different
types
of
hardware,
such
as
beacons,
cars,
sensors,
embedded
devices,
and
tags.
The
infrastructure
for
artificial
intelligence
of
things
AIoT
for
cloud-based
AIoT
also
includes
the
connectivity
layer
with
fields
and
cloud
gateways.
It
serves
an
important
role
in
connecting
cloud
storage
to
controllers,
intelligent
devices,
and
sensors.

The
cloud
layer
also
plays
a
vital
role
in
empowering
cloud-based
AIoT
as
it
ensures
data
processing
through
components
such
as
AI
engine,
data
visualization,
API
data
access,
data
storage,
and
analytics.
On
the
other
hand,
the
user
communication
layer
primarily
includes
mobile
applications
and
web
portals. 

• 
  Edge-based
  AIoT

Another
popular
implementation
of
AIoT
systems
that
has
gained
attention
of
tech
experts
is
edge-based
AIoT.
Your
search
for
answers
to
“What
is
the
artificial
intelligence
of
things?”
would
also
point
you
in
the
direction
of
edge-based
AIoT
for
its
special
capabilities.
Such
types
of
AIoT
implementations
facilitate
processing
of
IoT
data
at
the
edge
or
within
proximity
of
the
IoT
devices.
Therefore,
edge-based
AIoT
systems
require
lower
bandwidth
for
data
transfers,
thereby
avoiding
potential
delays
in
data
analysis.

Edge-based
AIoT
systems
include
three
prominent
layers:
collection
terminal
layer,
connectivity
layer,
and
edge
layer.
Each
layer
in
edge-based
AIoT
applications
serves
a
distinct
functionality.
For
example,
the
collection
terminal
layer
includes
all
the
hardware
devices,
such
as
cars,
sensors,
embedded
devices,
tags,
and
mobility
devices.
The
hardware
devices
in
this
layer
are
connected
to
the
gateway
through
existing
power
lines.

On
top
of
it,
the
connectivity
layer
includes
field
gateways
that
are
connected
to
the
collection
terminal
layer
across
the
existing
power
lines.
Finally,
the
edge
layer
in
edge-based
AIoT
systems
offers
the
facilities
for
effective
data
storage,
processing,
and
generation
of
insights. 

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

What
are
the
Advantages
of
Combining
AI
and
IoT?

A
closer
look
at
the
artificial
intelligence
of
things
examples
reveals
that
you
can
make
the
most
of
the
best
features
of
AI
and
IoT
with
AIoT
systems.
It
is
important
to
understand
the
different
ways
in
which
artificial
intelligence
and
IoT
can
work
together.
Some
of
you
may
have
doubts
regarding
the
possibility
of
AI
and
IoT
working
together
when
they
are
distinct
technologies.
AI
and
IoT
have
been
making
significant
technical
developments
and
serving
as
valuable
tools
for
technological
development
across
different
industries.

The
combination
of
AI
and
IoT
ensures
that
IoT
devices
can
expand
their
utility
beyond
collecting
and
delivering
data.
IoT
devices
would
develop
the
capabilities
for
better
understanding
and
evaluation
of
data.
Businesses,
economies,
and
industries
all
over
the
world
must
take
note
of
the
advantages
of
AIoT. 

• 
  Improved
  Operational
  Efficiency 

AIoT
can
help
businesses
achieve
better
operational
efficiency.
The
combination
of
AI
and
IoT
can
help
generate
operational
insights
at
a
faster
pace,
thereby
ensuring
faster
detection
and
resolution
of
problems.
As
a
result,
AIoT
systems
can
also
play
a
major
role
in
improving
operational
efficiency
for
industrial
automation
tasks.
For
example,
AIoT
applications
with
cameras
can
help
in
quality
control
for
industrial
automation.
On
top
of
it,
AIoT
also
ensures
effective
tracking
and
compliance
with
specific
regulations
and
guidelines.

• 
  Reduction
  of
  Operational
  Costs

AIoT
devices
can
also
have
a
significant
influence
on
the
reduction
of
operational
costs.
Smart
systems
with
the
power
of
AI
and
IoT
can
ensure
efficient
use
of
resources.
For
example,
smart
building
applications
can
help
in
adjustment
of
temperature
and
light
controls
according
to
occupancy. 

Therefore,
AIoT
systems
can
play
a
vital
role
in
improving
machinery
analysis
and
preventive
maintenance
in
factors.
Sensors
and
cameras
can
monitor
machine
parts
and
identify
the
ideal
time
to
introduce
improvements
or
implement
maintenance
schedules.

• 
  Easier
  Risk
  Management 

Businesses
across
different
industries
have
to
struggle
with
risk
management
problems.
Intelligent,
distributed
systems
based
on
AIoT
can
predict
future
risks
alongside
suggesting
preventive
measures
for
the
future.
The
best
AIoT
example
for
risk
management
points
to
crowd
analysis
in
public
places.

AIoT
systems
can
also
support
comprehensive
analysis
of
water
levels
and
employee
safety
analysis
according
to
desired
goals.
Organizations
can
use
AIoT
to
stay
one
step
ahead
in
the
preparations
and
management
of
potential
risks
in
future.
For
example,
insurance
companies
have
been
leveraging
AIoT
applications
to
collect
data
from
machines
and
factors
for
effective
management
of
insurance
risks.

• 
  Flexible
  Real-time
  Monitoring

AIoT
can
also
help
businesses
with
easier
real-time
monitoring
of
systems,
which
can
help
save
time
and
avoid
business
downtime.
The
consistent
monitoring
of
different
systems
with
AIoT
helps
in
easier
detection
of
anomalies
and
making
predictions
or
decisions
for
the
same. 

Most
important
of
all,
artificial
intelligence
of
things
or
AIoT
can
achieve
consistent
real-time
monitoring
without
any
human
intervention.
As
a
result,
it
can
achieve
faster
results.
One
of
the
notable
examples
of
benefits
of
real-time
monitoring
with
AIoT
systems
is
the
use
of
cameras
for
remote
detection
of
leakages.

What
are
the
Top
Applications
of
AIoT?

Artificial
intelligence
of
things
can
mark
the
beginning
of
a
new
revolution
in
the
field
of
technology.
The
answers
to
“What
is
the
artificial
intelligence
of
things?”
would
draw
attention
toward
the
use
of
cognitive
abilities
with
consumer
appliances.
However,
you
can
also
find
a
broader
range
of
applications
for
AIoT
with
possibilities
for
creating
a
seamless
technological
landscape.
Here
are
some
of
the
most
prominent
applications
of
AIoT
that
can
give
a
new
definition
to
the
capabilities
of
AI
and
IoT.

• 
  Smart
  Revolution 

Starting
from
smart
cities
to
smart
homes
and
offices,
AIoT
can
have
a
major
influence
on
the
world
we
are
likely
to
witness
in
the
future.
The
prominent
artificial
intelligence
of
things
examples
would
point
out
how
sensors
can
collect
data
to
improve
quality
of
life
operational
efficiency
and
guarantee
cost-effective
improvements.
Smart
retail
stores
can
use
AIoT
to
recognize
shoppers’
faces
with
a
camera
and
determine
whether
shoppers
have
scanned
items
at
self-checkout
before
they
leave
the
store.

• 
  Video
  Surveillance 

With
cameras
being
one
of
the
widely
available
IoT
devices,
it
is
important
to
understand
that
AIoT
use
cases
would
be
incomplete
without
video
surveillance.
Video
surveillance
with
AIoT
applications
would
capitalize
on
the
power
of
AI
and
IoT
for
smarter
video
surveillance
and
security.
AIoT
uses

machine
learning
algorithms
for
real-time
analysis
of
data
from
video
feeds
of
cameras,
thereby
detecting
objects
and
recognizing
people
automatically.

• 
  Manufacturing 

Another
notable
area
where
artificial
intelligence
of
things
would
have
a
formidable
impact
on
technology
is
manufacturing.
AIoT
systems
can
empower
Industrial
Internet
of
Things
to
achieve
better
real-time
monitoring
of
machinery
and
effective
detection
of
defective
parts. 

You
may
come
across
conventional
machine
vision
systems
that
offer
quality
control
and
fall
back
in
terms
of
efficiency.
However,
AIoT
can
address
the
setbacks
by
providing
the
power
of
deep
neural
networks.
As
a
result,
AIoT
systems
can
use
deep
neural
networks
for
real-time
detection
of
defective
parts
through
comprehensive
analysis
of
real-time
video
feeds. 

Identify
new
ways
to
leverage
the
full
potential
of
generative
AI
in
business
use
cases
and
become
an
expert
in
generative
AI
technologies
with Generative
AI
Skill
Path

Final
Words

The
overview
of
artificial
intelligence
of
things
AIoT
showcases
the
reasons
why
it
deserves
to
be
one
of
the
top
trends
in
the
domain
of
technology.

Artificial
intelligence
and

Internet
of
Things
are
the
two
most
powerful
technologies
that
have
had
distinct
effects
on
various
industries.
At
the
same
time,
it
is
also
important
to
consider
the
possibilities
of
blending
AI
and
IoT
to
create
AIoT.

With
the
power
of
AI,
IoT
systems
would
become
capable
of
processing
and
analyzing
the
data
collected
and
generated
by
IoT
devices.
Interestingly,
the
proven
success
of
different
examples
of
AIoT
in
the
real
world
proves
that
there
is
a
bright
future
for
AIoT.
Refine
your
knowledge
of
AIoT
with
an
in-depth
understanding
of
AI
and

IoT
fundamentals
right
now.