How your business can prioritize responsible AI with IBM watsonx 

Over
the
next
decade,
AI
will
impact
all
industries
and
help
shape
which
companies,
teams
and
executives
come
out
ahead.
This
is
why
we’ve
seen
so
many
early
AI
adopters
in
sports,
where
even
the
slightest
competitive
advantage
can
be
the
difference
between
first
and
second
place.   

Take
last
year’s

US
Open,
for
example,
where

IBM
watsonx™
projected
the
level
of
advantage
or
disadvantage
of
all
players
in
the
singles
draw.
Overseas,
Sevilla
FC
launched

a
tool
built
on
watsonx
to
provide
scouts
with
comprehensive
data-driven
identification
and
evaluation
of
potential
recruits.
And

EDGE3
will
embed
to
IBM
watsonx
to
help
universities
and
athletes
navigate
the
increasingly
complex
world
of
recruiting
by
improving
the
decision-making
process
for
college
programs
and
players.  

These
examples
go
hand-in-hand
with
rapid
enterprise
adoption.
For
instance,
we
are
working
together
with
Adobe
to
embed
watsonx
into
their
platform
to
support
key
industries.

With
SAP,
we’re
working
together
to
incorporate
additional
AI,
machine
learning
and
other
intelligent
technologies
into
SAP
solutions
that
can
lead
to
better
business
outcomes
for
our
joint
customers. 

Companies
of
all
shapes,
sizes
and
industries
are
taking
the
first
step
in
their
AI
journey.
Here
are
two
questions
they
should
be
asking: 

Is
AI
right
for
my
business?  

Absolutely.
Whether
you
lead
a
high-growth
startup
or
an
established
enterprise,
you’re
likely
playing
in
a
highly
competitive
market
where
AI
can
add
enormous
value
to
your
business.
Start
your
AI
journey
by
determining
your
use
case
and
what
you
are
trying
to
accomplish.  

Today,
partners
across
industries
are
embedding
IBM
watsonx
into
their
workflows,
offerings
and
solutions
in
different
ways
to
supercharge
their
existing
technology.
For
example,
by
integrating
watsonx
with
Box’s
Content
Cloud,
customers
can
use
IBM
AI
with
proprietary
data
housed
in
Box
to
help
them
accelerate
business
processes.
In
the
financial
investment
and
wealth
management
space,
QuantumStreet
AI
offers
a
comprehensive
AI
platform
which
embeds
watsonx
for
professional
investors,
representing
USD
6
billion
of
client
assets
covering
50,000
publicly
traded
global
companies
and
asset
classes. 

IBM’s
approach,
which
uses
smaller
models
tuned
to
specific
business
use
cases,
also
helps
lower
the
AI
barrier
to
entry
by
helping
enterprises
adopt
specific
models
that
run
on
cheaper
infrastructure
and
offer
more
flexibility
to
be
deployed
on
public
cloud,
on
private
cloud
or
on-premises. 

How
can
I
ensure
responsible
AI
innovation
for
my
company? 

Today’s
corporate
leaders
shouldn’t
be
questioning
whether
to
explore
AI
for
their
business,
but
how
to
do
so
responsibly.
When
AI
is
applied
to
the
enterprise,
there
is
no
room
for
error—it
must
be
implemented
with
the
right
guardrails
in
place.  

A
key
ingredient
in
responsible
AI
is

governance,
which
should
be
the
top
concern
for
every
developer,
software
provider
and
business
with
plans
to
implement
AI.
That
is
why
the
availability
of
watsonx.governance
was
such
a

tentpole
moment
for
IBM.
We
provide
enterprises
with
a
toolkit
that
helps
them
manage
risk,
embrace
transparency
and
anticipate
compliance
with
future
AI-focused
regulation.
Partners
that
choose
to
use
their
data
can
take
advantage
of
watsonx.data,
a
fit-for-purpose
data
store
that
helps
them
scale
AI
workloads
for
all
their
data
anywhere
it
resides.
An
important
distinction
for
IBM
is
our
longstanding
policy
that
such
data
belongs
to
the
partner.
Alternatively,
many
partners
use
watsonx.ai,
which
includes
the

Granite
model
series
(with
openly
shared
data
sources).  

Our
partners
look
at
data
use
just
as
seriously
as
we
do.
Take

our
relationship
with
Dun
&
Bradstreet,
which
combines
Dun
&
Bradstreet
Data
Cloud
with
watsonx
to
help
enterprises
responsibly
expand
their
use
of
generative
AI.
Another
IBM
Partner,

Boxes,
is
using
IBM
watsonx
Assistant™
to
help
retailers
gather
customer
insights
and
generate
buyer-ready
reports
to
bring
forward
new
products
and
get
samples
in
the
hands
of
consumers.
And
partners
like

Jaxon.ai
are
using
watsonx
foundation
models
to
address
some
of
the
other
challenging
aspects
of
AI,
such
as
hallucinations.  

I’m
proud
that
IBM
draws
on
decades
of
industry
leadership,
investment
and
research
in
AI
to
help
guide
partners
along
every
step
of
their
AI
journey.
No
matter
your
company’s
age,
size,
shape
or
industry,
IBM
has
the
right
tools
and
partner
program
to
help
your
business
adopt
and
scale
responsible
AI.  

Begin
your
journey
with
responsible
AI
use
cases

Embed
AI
into
your
commercial
solutions