1. IBM Watson Developer
Cloud
Services Overview
January 2015

2. IBM CONFIDENTIAL
IMPORTANT DISCLAIMER
2
IBM’s statements regarding its plans, directions, and intent are subject to change
or withdrawal without notice at IBM’s sole discretion. Information regarding
potential future products is intended to outline our general product direction and
it should not be relied on in making a purchasing decision. The information
mentioned regarding potential future products is not a commitment, promise, or
legal obligation to deliver any material, code or functionality. Information about
potential future products may not be incorporated into any contract. The
development, release, and timing of any future features or functionality described
for our products remains at our sole discretion.
The information contained herein is IBM Confidential and may not be used or
disclosed without express written permission from IBM Corporation.

3. IBM CONFIDENTIAL
Personality Insights aka User Modeling
(available in Beta now)
3
What is it?
Personality
profiling
to
help
engage
users
on
their
own
terms.
How does it work?
The
Personality
Insights
service
uses
linguis9c
analy9cs
to
extract
a
set
of
personality
and
social
traits
from
the
way
a
person
communicates.
The
service
can
analyze
any
communica9on
the
user
makes
available
such
as
their
text
messages,
tweets,
posts,
email,
and
more.
Users
of
the
service
can
understand,
connect,
and
communicate
with
people
on
a
more
personally
tailored
level
by
analyzing
personality
and
social
traits
Example Use Cases
• Analyze
a
customer’s
twiEer
stream
to
help
a
travel
agency
decide
between
leading
with
a
budget
or
luxury
trip
offer
• Improve
customer
engagement
by
personalizing
and
differen9a9ng
products
and
offerings
using
customer’s
public
communica9on
(e.g.,
twiEer
feed)

4. IBM CONFIDENTIAL
Question and Answer
(available now)
4
Understands question
Produces possible answers and
evidence
Analyzes evidence
Computes confidence
Delivers response, evidence and
confidence
Asks a question
Considers response and
evidence
What is it?
Direct
responses
to
users
inquiries
fueled
by
primary
document
sources
How does it work?
Interprets
and
answers
user
ques9ons
directly
based
on
primary
data
sources
(brochures,
web
pages,
manuals,
records,
etc.)
that
have
been
selected
and
gathered
into
a
body
of
data
or
‘corpus’.
The
service
returns
candidate
responses
with
associated
confidence
levels
and
links
to
suppor9ng
evidence.
The
current
data
corpora
on
Bluemix
focuses
on
the
Travel
and
Healthcare
industries.
Example Use Cases
Healthcare:
• What
is
a
stroke?
What
is
the
cause
of
Wilson
Disease?
Travel:
• Where
is
the
best
place
to
stay
in
Prague?

5. IBM CONFIDENTIAL
Relationship Extraction
(available in Beta now)
5
What is it?
From unstructured text, Relationship Extraction can
extract entities (such as people, locations,
organizations, events), and the relationships between
these entities (such as person employed-by
organization, person resides-in location)
How does it work?
Based on statistical modeling, Relationship Extraction
performs linguistic analysis of the input text, finds
spans of text that refers to entities, clusters them
together to form entities, and extracts relationships
between them. Relationship Extraction models are
domain-specific and work best with in-domain input.
Example Use Cases
The output of Relationship Extraction, namely entities
and their relationships, can be used to build
applications such as a semantic search engine,
business and competitive intelligence tools,
knowledge graphs, social media monitoring tools, etc.

6. IBM CONFIDENTIAL
Message Resonance
(available in Beta now)
6
Visionary mobile protoype
What is it?
Communicate
with
people
with
a
style
and
words
that
suits
them
How does it work?
The
message
resonance
service
analyzes
draR
content
and
scores
how
well
it
is
likely
to
be
received
by
a
specific
target
audience.
This
analysis
is
based
on
content
that’s
been
wriEen
by
the
target
audience
itself
such
as
fans
of
a
specific
sports
team
or
new
parents.
Today,
analysis
can
be
done
against
people
ac9ve
in
cloud
compu9ng
or
discussions
but
future
versions
will
let
users
provide
their
own
community
data.
Example Use Cases
Among
people
ac9ve
in
cloud
compu9ng
discussions,
op9on
A
content
is
likely
to
resonate
very
well,
op9on
B
poorly,
and
op9on
C
moderately
well.

7. IBM CONFIDENTIAL
Concept Expansion
(available in Beta now)
7
What is it?
Maps
euphemisms
or
colloquial
terms
to
more
commonly
understood
phrases
How does it work?
The
Concept
Expansion
service
analyses
text
and
interprets
its
meaning
based
on
usage
in
other
similar
contexts.
For
example,
it
could
interpret
“The
Big
Apple”
as
meaning
“New
York
City”.
It
can
be
used
to
create
a
dic9onary
of
related
words
and
concepts
so
that
euphemisms,
colloquialisms,
or
otherwise
unclear
phrases
can
be
beEer
understood
and
analyzed.
Example Use Cases
“drugs”
can
be
expanded
to:
start
seed
terms
à
motrin,
aspirin,
Keflex
post
expansion
à
allegra,
lisinopril,
meormin,
aspirin,
equagesic,
cime9dine,
fiorinal,
vancomycin,
avelox,
protonix,
glimepiride,
protonix,
verapamil,
norco,
inderal,
hctz,
advair

8. IBM CONFIDENTIAL
What is it?
Globalize
on
the
fly.
Translate
text
from
one
language
to
another.
Customize
the
transla9on
algorithm
for
your
specific
use
case,
or
use
a
generic
(news)
one.
How does it work?
The
Machine
Transla9on
service
converts
text
input
in
one
language
into
a
des9na9on
language
for
the
end
user.
Today,
bi-­‐direc9onal
generic
transla9on
is
available
between
English
and
[French,
Spanish,
Portuguese];
uni-­‐direc9onal
generic
transla9on
is
available
from
Arabic
to
English.
More
languages
and
customiza9on
capabili9es
coming
soon!
Example Use Cases
• A
news
agency
is
able
to
curate
ar9cles
from
across
the
globe,
and
present
them
to
a
local
audience
in
their
na9ve
language.
• An
e-­‐commerce
website
can
enable
a
truly
global
marketplace.
• Travel
apps
can
deliver
on
the
promise
of
a
fully
guided,
interac9ve
experience.
Machine Translation
(available in Beta now)
8

9. IBM CONFIDENTIAL
Language Identification
(available in Beta now)
9
What is it?
Iden9fies
the
language
in
which
text
is
wriEen.
How does it work?
The
Language
Iden9fica9on
service
detects
the
language
in
which
text
is
wriEen.
This
helps
inform
next
steps
such
as
transla9on,
voice
to
text,
or
direct
analysis.
The
service
can
be
used
in
tandem
with
the
Machine
Transla9on
service.
Today,
the
service
can
iden9fy
15
languages
–
Arabic;
Chinese
(Simplified);
Chinese
(Tradi9onal);
Cyrillic;
Danish;
Dutch;
English;
Farsi;
Finnish;
French;
German;
Greek;
Hebrew;
Hindi;
Icelandic;
Italian;
Japanese;
Korean;
Norwegian
(Bokmal);
Norwegian
(Nynorsk);
Portuguese;
Spanish;
Swedish;
Turkish;
Urdu
Example Use Cases
A
building
block
for
Machine
Transla9on
and
future
tech

10. IBM CONFIDENTIAL
Visualization Rendering
(available now)
10
Visionary mobile prototype
What is it?
Graphical
representa9ons
of
data
analysis
for
easier
understanding
How does it work?
The
service
takes
input
data
and
graphically
renders
it
as
an
interac9ve
visualiza9on
which
can
range
from
a
common
business
chart
to
more
advanced
layouts.
The
visualiza9ons
can
be
easily
modified
to
match
user
needs,
visual
styling,
and
types
of
data
being
analyzed.
Example Use Cases
The
service
could
represent
neighborhood
demographic
data
as
mini
pie
charts
showing
income
levels
centered
on
geographic
loca9ons
on
maps,
or
as
tree
maps
that
can
switch
from
looking
at
income
by
age
to
house
size
or
by
educa9on
level.

11. IBM CONFIDENTIAL
Speech-to-Text
(available in beta early 1Q15)
11
What is it?
Automa9c
recogni9on
of
the
words
that
are
being
spoken
in
a
sound
file,
and
presents
the
highest-­‐
scoring
textual
representa9on
of
that
message.
How does it work?
In
addi9on
to
conver9ng
a
raw
audio
signal
into
a
best-­‐
guess
of
the
words
that
are
being
spoken,
intelligence
about
the
relevant
grammar
/
how
language
is
used
within
a
specific
context
is
incorporated
to
generate
a
more
accurate
transcrip9on.
Ini9ally
coming
out
with
a
general
(news)
model
for
English;
will
eventually
be
able
to
tweak
the
algorithm
for
a
specific
use
case
(e.g.,
“Men
in
9ghts”
in
the
general
domain,
“Meningi9s”
when
customized
to
the
Medical
domain).
Example Use Cases
• Transcrip9on
of
mee9ngs
and
conference
calls.
• Voice-­‐control
of
applica9ons
/
embedded
devices.
• Dicta9on
of
emails.
• Cri9cal
building
block
for
“Speech-­‐to-­‐Speech”
transla9on.

12. IBM CONFIDENTIAL
Text-to-Speech
(available in beta early 1Q15)
12
What is it?
Generates
an
audio
file
that
has
a
verbal
representa9on
of
the
input
text
–
complete
with
appropriate
cadence
and
intona9on,
and
the
ability
to
customize
the
pronuncia9on
of
specific
words.
How does it work?
Generates
an
audio
file
that
has
a
verbal
representa9on
of
the
input
text
–
complete
with
appropriate
cadence
and
intona9on.
Ini9ally
coming
out
with
a
general
(news)
model
for
English
and
Spanish;
will
eventually
be
able
to
customize
the
pronuncia9on
of
specific
words,
and
tailor
enuncia9on
appropriate
for
a
given
domain.
Example Use Cases
• Read
texts
/
emails
aloud.
• Assistance
tools
for
the
vision-­‐impaired.
• Transmit
informa9on
from
a
computer
to
a
human
without
using
a
screen.
• Cri9cal
building
block
for
enable
“Speech-­‐to-­‐Speech
Transla9on”

13. IBM CONFIDENTIAL
Concept Insights
(available in beta early 1Q15)
What is it?
Locate
relevant
documents
that
may
not
directly
men9on
your
query.
How does it work?
The
Concept
Insights
service
links
documents
you
provide
with
a
pre-­‐exis9ng
graph
of
concepts
based
on
Wikipedia
(e.g.
'The
New
York
Times',
'Machine
learning',
etc.).
Two
types
of
links
are
iden9fied:
explicit
links
when
a
document
directly
men9ons
a
concept,
and
implicit
links
which
connect
your
documents
to
relevant
concepts
that
are
not
directly
men9oned
in
them.
Users
of
this
service
can
also
search
for
documents
that
are
relevant
to
a
concept
or
collec9on
of
concepts
by
exploring
the
explicit
and
implicit
links.
Example Use Cases
• A
legal
firm
could
u9lize
this
service
to
iden9fy
cases
which
may
be
related
to
the
case
in
ques9on
• Improve
engagement
on
any
external
website

14. IBM CONFIDENTIAL
Visual Recognition
(available in beta early 1Q15)
14
What is it?
Analyzes
the
visual
content
of
images
and
videos
to
understand
their
content
without
requiring
a
textual
descrip9on.
How does it work?
The
Visual
Recogni9on
service
enables
you
to
analyze
the
visual
appearance
of
images
or
video
frames
to
understand
what
is
happening
in
a
scene.
Using
machine
learning
technology,
seman9c
classifiers
recognize
many
visual
en99es,
such
as
semngs,
objects,
and
events.
The
service
applies
these
pre-­‐
learned
models
to
imagery
that
you
have
uploaded
to
the
service
and
returns
a
score
for
each
image
for
each
model,
indica9ng
the
likelihood
of
that
visual
element
being
present
in
the
image.
Example Use Cases
• Audio-­‐visual
indexing
and
search
of
media
archive
• Automa9c
“Smart
Album”
genera9on
• Marke9ng
data
analysis
from
social
media
-­‐
For
e.g.,
mine
Pinterest
images
and
perform
segmenta9on

15. IBM CONFIDENTIAL
Tradeoff Analytics
(available in beta early 1Q15)
What is it?
Helps
make
beEer
choices
under
mul9ple
conflic9ng
goals.
Combines
smart
visualiza9ons
and
analy9cal
recommenda9ons
for
tradeoff
explora9on.
How does it work?
Tradeoff
Analy9cs
helps
people
make
beEer
choices
when
mul9ple
conflic9ng
goals
come
into
play.
Tradeoff
Analy9cs
uses
Pareto
filtering
techniques
in
order
to
surface
out
only
the
op9mal
alterna9ves
across
mul9ple
criteria.
It
then
uses
various
analy9cal
and
visual
approaches
to
help
the
decision
maker
analyze
the
tradeoffs
within
the
op9mal
set
of
alterna9ves
helping
them
select
the
op9on
that
best
meets
their
preferences
and
priori9es.
Use Cases
• Front
end
sales
portal
using
Tradeoff
Analy9cs
to
empower
customers'
decision
capability
and
collects
data
on
what
customers
deem
most
important
to
product
purchases
• Wealth
management
using
the
technology
to
help
choose
mutual
funds