IBM Watson Tradeoff Analytics AlChemy
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Transcript of IBM Watson Tradeoff Analytics AlChemy
IBM Watson Tradeoff AnalyticsAlChemy
Helping people make the right decisions
Mohammad Ahmed , Executive IT Specialist.IBM WATSON, APM, Hybrid Cloud.
Acknowledgements and DisclaimersAvailability. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates.
The workshops, sessions and materials have been prepared by IBM or the session speakers and reflect their own views. They are provided for informational purposes only, and are neither intended to, nor shall have the effect of being, legal or other guidance or advice to any participant. While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided AS-IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other materials. Nothing contained in this presentation is intended to, nor shall have the effect of, creating any warranties or representations from IBMor its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBMsoftware.
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 byyou 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 of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtmlOther 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
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Tradeoff Analytics help people weigh their options and make the right choices.
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Narrow down to the best options to meet
multiple goalsExplore visually Recommend based on
the preferred choices
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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.htmlAccess the Public Wiki Public WIKI: https://w3-connections.ibm.com/wikis/home?lang=en-us#!/wiki/People%20Insights%20Services%20on%20WDC/page/Tradeoff%20Analytics
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 mannerVisual 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
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
criteria2) 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 priorities5) Encourage the user's exploration of the remaining optimal candidates6) 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.
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Investment Scenario
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© 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
IBM Watson AlchemyLanguageAPI functions which use sophisticated natural language processing techniques to analyze your content
© 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
80% of the world’s data is unstructured
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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
© 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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© 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
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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:
Use Cases
• Social Media Monitoring• Business Intelligence• Content Discovery• Research
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