<s>
Artificial	B-Application
intelligence	I-Application
marketing	I-Application
(	O
AIM	O
)	O
is	O
a	O
form	O
of	O
marketing	O
that	O
leverages	O
artificial	B-Application
intelligence	I-Application
concepts	O
and	O
models	O
such	O
as	O
machine	O
learning	O
and	O
Bayesian	O
Networks	O
to	O
achieve	O
marketing	O
goals	O
.	O
</s>
<s>
Artificial	B-Application
Intelligence	I-Application
is	O
utilized	O
in	O
various	O
digital	O
marketing	O
spaces	O
,	O
such	O
as	O
content	O
marketing	O
,	O
email	O
marketing	O
,	O
online	O
advertisement	O
(	O
in	O
combination	O
with	O
machine	O
learning	O
)	O
,	O
social	O
media	O
marketing	O
,	O
affiliate	O
marketing	O
,	O
and	O
beyond	O
.	O
</s>
<s>
Artificial	B-Application
Intelligence	I-Application
Marketing	I-Application
provides	O
a	O
set	O
of	O
tools	O
and	O
techniques	O
that	O
enable	O
behavioral	O
targeting	O
.	O
</s>
<s>
Additionally	O
,	O
to	O
prevent	O
human	O
bias	O
in	O
behavioral	O
targeting	O
at	O
scale	O
,	O
artificial	B-Application
intelligence	I-Application
technologies	O
are	O
used	O
.	O
</s>
<s>
The	O
most	O
advanced	O
form	O
of	O
behavioral	O
targeting	O
aided	O
by	O
artificial	B-Application
intelligence	I-Application
is	O
called	O
algorithmic	O
marketing	O
.	O
</s>
<s>
Artificial	B-Application
intelligence	I-Application
marketing	I-Application
principles	O
are	O
based	O
on	O
the	O
perception-reasoning-action	O
cycle	O
found	O
in	O
cognitive	O
science	O
.	O
</s>
<s>
This	O
is	O
the	O
phase	O
where	O
artificial	B-Application
intelligence	I-Application
and	O
machine	O
learning	O
in	O
particular	O
play	O
a	O
key	O
role	O
.	O
</s>
<s>
In	O
an	O
unsupervised	B-General_Concept
model	O
,	O
the	O
machine	O
in	O
question	O
would	O
take	O
the	O
decision	O
and	O
act	O
according	O
to	O
the	O
information	O
it	O
received	O
in	O
the	O
collect	O
stage	O
.	O
</s>
