Presentation from Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017. Student examples include choosing classes, searching clubs, selecting professors etc… Administration examples include evaluating investments, curriculum effectiveness, etc... The Alchemy API segment will provide hands-on experience and example usage of two Alchemy API services on Bluemix: AlchemyData News and AlchemyLanguage services. Examples of the use of Alchemy API include AlchemyData News which indexes 250k to 300k English language news and blog articles every day with historical search available for the past 60 days. The system enables developers to query the News API directly without needing to crawl, enrich, store the data themselves. Go beyond simple keyword based searches with AlchemyData News. AlchemyLanguage uses one or all of the natural language processing APIs available through AlchemyLanguage to analyze your content and add high-level semantic information - such as keywords, sentiment or concepts - to create smart applications

1. IBM Watson
Tradeoff Analytics
AlChemy
Helping people make the right decisions
Mohammad Ahmed , Executive IT Specialist.
IBM WATSON, APM, Hybrid Cloud.
DHAKAIYA@US.IBM.COM

2. Acknowledgements and Disclaimers
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all countries in which IBM operates.
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or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM
software.
All customer examples described are presented as illustrations of how those customers have used IBM products and the
results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Nothing
contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by
you will result in any specific sales, revenue growth or other results.
© Copyright IBM Corporation 2017. All rights reserved.
U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule
Contract with IBM Corp.
IBM, the IBM logo, ibm.com, IBM Watson, Personality Insights, Tradeoff Analytics are trademarks or registered trademarks
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Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is
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Other company, product, or service names may be trademarks or service marks of others.
• Acknowledgement to the companies contributing their pictures for the presentations as follows: deviantart.com & pixabay.com

3. What is IBM Watson Tradeoff
Analytics?

4. ™
Tradeoff Analytics help people weigh their options and make the
right choices.
+ +
Narrow down to the
best options to meet
multiple goals
Explore visually
Recommend based on
the preferred choices
+

5. Tradeoff Analytics is a Watson Cognitive Service on IBM
Watson Developer Cloud
Access the service on Watson developer Cloud at:
http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/tradeoff-analytics.html
Access the Public Wiki
Public WIKI: https://w3-connections.ibm.com/wikis/home?lang=en-
us#!/wiki/People%20Insights%20Services%20on%20WDC/page/Tradeoff%20Analytics

6. Three Pillars of the Tradeoff Analytics Technology
Applying mathematical models to narrow
down the number of choices to only the
superior alternatives
Applied Mathematics
Facilitates results interpretation in a
consumable and interactive manner
Visual Analytics
Provides breakthrough tools that can help
guide the decision maker through the
decision process, recommends preferred
options, and analyzes and highlights
decision tradeoffs.
Cognition

7. What does Tradeoff Analytics do?
The IBM Watson™ Tradeoff Analytics service helps people make better choices by:
1) Using mathematical filtering techniques to identify the top options based on multiple
criteria
2) Helping decision makers explore the tradeoffs between options when making
complex decisions.
3) Combining smart visualization and analytical recommendations for easy and intuitive
exploration of tradeoffs.
4) Filtering out less attractive options based on a user’s specified objectives,
preferences, and priorities
5) Encourage the user's exploration of the remaining optimal candidates
6) Helps decision makers consider only the goals that matter most and only the best
options to make a final, informed decision.
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Tradeoff Analytics helps people make better choices while taking into account multiple,
often conflicting, goals that matter when making that choice.

8. ™
Investment Scenario
8
© 2013 IBM Corporation
Meet Emma!
Emma is a professional living in New York City,
working at a large Investment Bank. She is looking
to compare mutual funds (115 of them), across the
following performance time dimensions, as well as
their Risk:
• Maximize Year To Date Performance
• Maximize Short Term (1 year) Performance
• Maximize Mid Term (3 years) Performance
• Maximize Long Term (10 years) Performance
• Minimize Risk
Picture taken from MAM asset:
http://mam2.stibo.com/PORTAL/SEARCHRESULTS.php?page=1&id=483749&path=/data/IBM_MCW/IBM_Images/IBM%20Product%20or%20Royalty%20Free%20Images

9. Demo TradeOff Analytics

10. IBM Watson
AlchemyLanguage
API functions which use
sophisticated natural language
processing techniques to analyze
your content

11. © 2017 International Business Machines Corporation
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AlchemyLanguage is a collection of 12 APIs that offer text analysis through natural language processing. The AlchemyLanguage
APIs can process text and help you to understand its sentiment, keywords, high-level concepts and more.
APIs enable you to:
•Quickly extract meaningful information from unstructured data
•Categorize and label text and images
•Analyze sentiment
•Connect your data to additional knowledge sources
•And more…
Most Popular APIs
•Keywords
•Named Entity Extraction
•Relations Extraction
•Sentiment Analysis
•Taxonomy
•Concept Tagging
An IBM Company

12. 80% of the world’s data is unstructured
© 2017 International Business Machines Corporation 12
Problem:
•Inability to mine unstructured data sets: 90% of the world’s data was created in the
past two years, 80% of which is unstructured
•Limited supply skills in NLP / AI to “do it yourself”
•Traditional approaches are brittle and expensive to maintain
Resulting in:
Lost revenue, missed opportunities, increased operational costs (manual vs automated
approaches), inability to detect / prevent customer churn, etc

13. © 2017 International Business Machines Corporation
Natural Language Processing with AlchemyLanguage
Natural Language Processing gives structure to unstructured text by extracting
important metadata, such as keywords, entities, and sentiment.
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14. © 2017 International Business Machines Corporation
How does it work?
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AlchemyLanguage offers multiple API
functions as part of its text analysis service,
each of which uses sophisticated natural
language processing techniques to analyze
your content.
• Entity Extraction
• Sentiment Analysis
• Keyword Extraction
• Concept Tagging
• Relation Extraction
• Taxonomy Classification
• Author Extraction
• Language Detection
• Text Extraction
• Microformats Parsing
• Feed Detection
• Linked Data Support

15. 15
Key Capabilities
Concept Tagging: high-level concepts in text (e.g. this article is about monetary policy)
Taxonomy Classifier: hierarchical categorization (finance/personal finance/credit card)
Entity Extraction: what are the entities (people, places, organizations, etc.) in text
Sentiment Analysis: how are people talking about the entities (positive, negative)
Emotion Analysis: what emotions are people expressing (joy, fear, sadness, anger, disgust)
Linked Data Support: appending additional information about the entity
Microformats Parsing: semantic information embedded in the article
Text Extraction: extract the important parts of text within an article
Relation Extraction: subject / action relations between entities
Language Detection: what language is this written in
Feed Detection: find the RSS feeds in the website
Keyword Extraction: important topics in content
Author Extraction: who wrote the article
AlchemyLanguage supports the following features:

16. Demo AlChemy & Visual

17. Use Cases
• Social Media Monitoring
• Business Intelligence
• Content Discovery
• Research
© 2017 International Business Machines Corporation 17

18. ibmwatson.com
facebook.com/ibmwatson
@ibmwatson
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19. 19
Key Capabilities
Backup