An overview of various IBM Watson services including one or more demos for each service

1. IBM Watson Developer Cloud
+
IoT
Nathan Friedly (nfriedly@us.ibm.com)
German Attanasio Ruiz (germanatt@us.ibm.com)
RoboUniverse
May, 2015

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Watson Developer Cloud Services

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Personality Insights
What is it?
Improves understanding of people's preferences to help
engage users on their own terms.
How does it work?
The IBM Watson Personality Insights service uses linguistic
analytics to extract cognitive and social characteristics,
including Big Five, Values, and Needs, from
communications that the user makes available, such as
email, text messages, tweets, forum posts, and more. By
deriving cognitive and social preferences, the service helps
users to understand, connect to, and communicate with
other people on a more personalized level.
Example Use Cases
• Improve customer engagement by personalizing and
differentiating products and offerings using customer’s
public communication (e.g., twitter feed)
© 2015 International Business Machines Corporation 3
http://en.wikipedia.org/wiki/Big_Five_personality_traits

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• C++ & Python
• SPI-based display
• Battery-friendly
• https://github.com/watson-
developer-cloud/arduino-pi-
badge-demo
Arduino Yún + Personality Insights

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Personality Insights Demo
http://your-celebrity-match.mybluemix.net/
http://www.msnbc.com/msnbc/how-supercomputer-sees-the-state-
the-union

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Question and Answer
What is it?
Direct responses to users inquiries fueled by primary
document sources
How does it work?
Interprets and answers user questions 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 supporting 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?
© 2015 International Business Machines Corporation 5

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Question and Answer Demo
http://watson-qa-demo.mybluemix.net/

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Speech To Text
What is it?
Automatic recognition of the words that are being spoken in
a live audio stream, and presents the highest-scoring textual
representation of that message.
How does it work?
In addition to converting 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
transcription.
Example Use Cases
• A new integration paradigm for mobile apps.
• Voice-control of applications / embedded devices.
• Transcription of meetings and conference calls. Dictation
of emails.
• Critical building block for “Speech-to-Speech” translation.
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Speech To Text Demo
https://speech-to-text-demo.mybluemix.net/

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Text To Speech
What is it?
Generates an audio file that has a verbal representation of the
input text – complete with appropriate cadence and intonation,
and, in the future, the ability to customize the pronunciation of
specific words.
How does it work?
Generates an audio file that has a verbal representation of the
input text – complete with appropriate cadence and intonation.
Example Use Cases
• Enable a new interaction paradigm for mobile apps.
• Assistance tools for the vision-impaired.
• Read texts / emails aloud.
• Critical building block for enable “Speech-to-Speech
Translation”
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• Node.js
• Interrupt-based IO
• Minimal Resource Usage
• https://github.com/watson-developer-
cloud/rpi-time-weather-demo
Raspberry pi + Text to Speech

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Text To Speech Demo & Sample
http://text-to-speech-demo.mybluemix.net/
https://github.com/watson-developer-cloud/node-tts-player

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Visual Recognition
What is it?
Analyzes the visual content of images and videos to understand
their content without requiring a textual description.
How does it work?
The Visual Recognition 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,
semantic classifiers recognize many visual entities, such as
settings, 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, indicating the
likelihood of that visual element being present in the image.
Example Use Cases
• Audio-visual indexing and search of media archive
• Automatic “Smart Album” generation
• Marketing data analysis from social media - For e.g., mine
Pinterest images and perform segmentation
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Visual Recognition Demo
http://visual-recognition-demo.mybluemix.net/

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Tradeoff Analytics
What is it?
Helps make better choices under multiple conflicting goals.
Combines smart visualizations and analytical recommendations
for tradeoff exploration.
How does it work?
Tradeoff Analytics helps people make better choices when
multiple conflicting goals come into play. Tradeoff Analytics
uses Pareto filtering techniques in order to surface out only the
optimal alternatives across multiple criteria. It then help the
decision maker analyze the tradeoffs within the optimal set of
alternatives helping them select the option that best meets
their preferences and priorities.
Use Cases
•Wealth management using the technology to help choose
mutual funds
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Tradeoff Analytics Demo
http://tradeoff-analytics-demo.mybluemix.net/
http://hedge.mybluemix.net/
http://personalized-recommendations.mybluemix.net/

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IBM Watson Developer Cloud in Github
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http://www.ibm.com/watsondevelopercloud/
https://github.com/watson-developer-cloud

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Thanks

19. More IBM Watson:
Knowledge Engines and AI –
Applications Beyond Gaming
• Aadhar Garg
• Tomorrow, May 12
• 3:30pm – 4:15pm
• Technology Track
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Additional Services

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Concept Expansion
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 dictionary of related words and concepts so
that euphemisms, colloquialisms, or otherwise unclear
phrases can be better understood and analyzed.
Example Use Cases
“drugs” can be expanded to:
start seed terms  motrin, aspirin, Keflex
post expansion  allegra, lisinopril, metformin,
aspirin, equagesic, cimetidine, fiorinal, vancomycin,
avelox, protonix, glimepiride
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Relationship Extraction
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.
Example Use Cases
Any application that want to use NLP data extracted
from text.
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Relationship Extraction Demo
http://ibmlaser.mybluemix.net/siredemo.html

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Concept Insights
What is it?
Locate relevant documents that may not directly mention your
query.
How does it work?
The Concept Insights service links documents you provide with a
pre-existing graph of concepts based on Wikipedia (e.g. 'The
New York Times', 'Machine learning', etc.). Two types of links are
identified: explicit links when a document directly mentions a
concept, and implicit links which connect your documents to
relevant concepts that are not directly mentioned in them.
Example Use Cases
• A legal firm could utilize this service to identify cases which
may be related to the case in question
• Improve engagement on any external website
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Concept Insights Demo
http://concept-insights-demo.mybluemix.net/

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Language Identification
What is it?
Identifies the language in which text is written.
How does it work?
The Language Identification service detects the
language in which text is written. This helps inform next
steps such as translation, voice to text, or direct
analysis. The service can be used in tandem with the
Machine Translation service. Today, the service can
identify 15 languages – Arabic; Chinese (Simplified);
Chinese (Traditional); 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 Translation and future tech
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Language Identification Demo
http://ibmlaser.mybluemix.net/liddemo.html

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What is it?
Globalize on the fly. Translate text from one language to
another. Customize the translation algorithm for your specific
use case, or use a generic (news) one.
How does it work?
The Machine Translation service converts text input in one
language into a destination language for the end user. Today, bi-
directional generic translation is available between English and
[French, Spanish, Portuguese]; uni-directional generic translation
is available from Arabic to English. More languages and
customization capabilities coming soon!
Example Use Cases
• A news agency is able to curate articles from across the globe,
and present them to a local audience in their native language.
• An e-commerce website can enable a truly global marketplace.
• Travel apps can deliver on the promise of a fully guided,
interactive experience.
Machine Translation
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Machine Translation Demo
http://ibmlaser.mybluemix.net/mtdemo.html

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Visualization Rendering
What is it?
Graphical representations of data analysis for easier
understanding
How does it work?
The service takes input data and graphically renders it as
an interactive visualization which can range from a
common business chart to more advanced layouts. The
visualizations 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 locations on maps, or as tree maps that
can switch from looking at income by age to house size
or by education level.
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If you need help with BlueMix,
Watson, or anything else (or or if
you just want to show off your
latest creation), reach out to us
on twitter:
@nfriedly
@germanatt