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White Paper Introduction Paragraph
Every
technology
cycle
begins
with
inflated
expectations
and
ends
with
operational
reality
.
Over
the
past
three
years
,
generative
artificial
intelligence
has
followed
that
arc
at
unprecedented
speed
—
what
started
as
a
consumer
curiosity
is
now
a
board
-
level
priority
in
nearly
every
industry
.
Yet
the
gap
between
enthusiasm
and
deployment
remains
wide
.
Most
organizations
have
run
pilots
:
chatbots
,
document
summarization
,
code
assistants
.
Fewer
than
one
in
three
have
moved
a
single
model
into
production
at
meaningful
scale
.
This
white
paper
examines
why
that
gap
exists
and
what
separates
the
small
number
of
enterprises
that
successfully
operationalize
AI
from
the
majority
still
stuck
in
experimentation
.
Drawing
on
interviews
with
technology
leaders
at
more
than
forty
companies
,
proprietary
market
data
,
and
detailed
deployment
case
studies
,
it
offers
a
practical
framework
for
moving
from
pilot
to
production
—
where
to
start
,
how
to
measure
value
,
how
to
govern
risk
,
and
how
to
build
the
organizational
capability
that
makes
AI
a
durable
advantage
rather
than
a
temporary
initiative
.
The
goal
is
not
to
add
to
the
noise
.
It
is
to
give
decision
-
makers
a
clear
,
evidence
-
based
path
forward
.
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