3 ways CIOs should drive the future of work

1.
Transform
knowledge
management
with
generative
AI

ChatGPT
and
other
forms
of
generative
AI
have
generated
a
storm
of
consumer
interest
that
is
carrying
over
into
the
enterprise.

[…]

3 ways CIOs should drive the future of work

1.
Transform
knowledge
management
with
generative
AI

ChatGPT
and
other
forms
of
generative
AI
have
generated
a
storm
of
consumer
interest
that
is
carrying
over
into
the
enterprise.
Many
marketing
departments
are
embracing
content
generation,
image
creation,
and
video
editing
to
scale
their
workflows,
while

Microsoft
added
ChatGPT
capabilities
to
its
office
suite
,
and

Google
is
adding
generative
AI
tools
across
Workspace
.

“Generative
AI
is
reimagining
the
future
of
work,
from
the
content
we
write
to
the
creative
we
use
and
how
we
converse
with
each
other,”
says
Yishay
Carmiel,
CEO
of
Meaning.
“While
early
challenges
with
accuracy
and
credibility
remain
a
barrier
to
entry,
generative
tech
is
still
proving
valuable
for
enterprises
producing
content
and
uncovering
valuable
information
quickly
and
at
scale.”

One
area
I
expect
generative
AI
to
impact
the
future
of
work
significantly
is
knowledge
management
and
enterprise
search
experiences.
I
expect
we’ll
see
the
consumerization
of
search
and
knowledge
management
over
the
next
decade,
driven
by
generative
and
conversational
AI
capabilities. 

Today,
most
enterprises
create,
store,
and
search
content
across
a
breadth
of
tools,
including
CRMs,
CMSes,
ecommerce
platforms,
office
suites,
and
collaboration
tools.
Employees
search
for
content
using
primitive
keyword
search
boxes
instead
of

natural
language
processing

and
conversational
AI
capabilities.
These
capabilities
are
ripe
for
transformation,
and

AI
search
is
a
force
multiplier

when
it
centralizes
information
access,
addresses
tribal
knowledge
risks,
and
personalizes
employee
experiences. 

2.
Drive
self-service
capabilities
with
no-code
tech

The
first
no-code
tools
for
building
web
applications
became
available
over
two
decades
ago.
Today,
most
organizations
use
a
mix
of
low-code
and
no-code
tools
to
build
applications,
and
many
support

citizen
development

performed
by
non-IT
employees.

No-code
isn’t
just
for
developing
apps,
as
many
organizations
use
no-code
self-service
business
intelligence
tools
such
as
Power
BI
and
Tableau
to
enable
a
data-driven
organization
and

reduce
the
reliance
on
operational
spreadsheets
.
There
are
also
no-code
data
prep,
automation,
and
integration
tools
used
by
marketing,
operations,
and
finance
teams
with
staff
and
skills
to
implement
technology
solutions
with
little
or
no
IT
assistance.

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