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© 2015 IBM Corporation
Creating Killer Apps
Powered by Watson
Cognitive Services
June 10-11 2015, Israel
IBM Ecosystem Development, Israel
Ronen Siman Tov
Innovation Center Manager
GTU, Cloud Ecosystem Development, IBM
Mobile: +972-50-916-5386
e-mail: ronensi@il.ibm.com
© 2015 IBM Corporation2
IBM Watson Hackathon, Israel, June 10-11, 2015
What is a Killer App?
 Innovative and disruptive app that changes our experience
 An implementation of a good business idea which reflects an actual need
– Knows your customer
– Provides continuous experience via all communication channels
 Based on cutting edge technologies:
– Cloud Services, IoT, Mobile
– And the new player – cognitive computing
© 2015 IBM Corporation3
IBM Watson Hackathon, Israel, June 10-11, 2015
What is Watson?
https://youtu.be/Y_cqBP08yuA
http://www.ibm.com/smarterplanet/us/en/ibmwatson/
A cognitive system that enables a new
partnership between people and computers that
enhances and scales human expertise.
Core Capabilities:
1. NLP – Natural Language Processing
2. Big Data Analysis and Machine Learning
3. Evidence Based Reasoning
© 2015 IBM Corporation4
IBM Watson Hackathon, Israel, June 10-11, 2015
Big Picture Overview
• Watson API Services break down the
cognitive capabilities of Watson into
components
• Partners are empowered to leverage
cognitive services to solve new
business problems
• Cognitive services can be combined
and integrated to provide holistic
cognitive solutions
© 2015 IBM Corporation5
IBM Watson Hackathon, Israel, June 10-11, 2015
Watson Developer Cloud
http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/
© 2015 IBM Corporation6
IBM Watson Hackathon, Israel, June 10-11, 2015
AlchemyLanguage™
Real-time text analysis for
natural language understanding
Most comprehensive knowledge extraction services for text. We power today’s leading real-
time applications in advertising, publishing, social media, customer service and commerce
© 2015 IBM Corporation7
IBM Watson Hackathon, Israel, June 10-11, 2015
AlchemyLanguage “hierarchy” of popular tagging and
extraction calls
© 2015 IBM Corporation8
IBM Watson Hackathon, Israel, June 10-11, 2015
AlchemyVision™ New!
Teaching computers to ‘see’ for automated image
search, classification and tagging
Meeting the exploding need for extracting knowledge from images for e-catalogs, commerce,
advertising and publishing
© 2015 IBM Corporation10
IBM Watson Hackathon, Israel, June 10-11, 2015
Question &
Answer
Description:
Value Add:
Interprets and answers user questions directly based on
primary data sources (brochures, web pages, manuals,
records, etc.) within a 'corpus'.
Returns candidate responses with associated confidence
levels and links to supporting evidence.
Ask questions in natural language
Provide domain knowledge and expertise based on a specific set of
input documents and other information
Returns the list of supported Watson domains defined by each corpus
Sends a question to Watson
Submit feedback on the QA service for model training
Capabilities:
© 2015 IBM Corporation11
IBM Watson Hackathon, Israel, June 10-11, 2015
This evidence suggests
“Gary” is the answer BUT
the system must learn
that keyword matching
may be weak relative to
other types of evidence
explorer
India
In May
1898
India
In May
celebrated
anniversary
in Portugal
In May, Gary arrived in India
after he celebrated his
anniversary in Portugal
Portugal
400th
anniversary
celebrated
Gary
In May 1898 Portugal celebrated the
400th anniversary of this explorer’s
arrival in India
arrived in
arrival in
Legend
Keyword “Hit”
Reference Text
Answer
Weak evidenceRed Text
Question: Supporting Evidence:
Answering complex questions requires more than keyword evidence
© 2015 IBM Corporation12
IBM Watson Hackathon, Israel, June 10-11, 2015
Watson’s deep semantical capability unlocks new possibilities
27th May 1498
Vasco da
Gama
landed in
arrival
in
explorer
India
Para-
phrases
Geo-KB
Date Match
Stronger evidence can be
much harder to find and
score…
 Search far and wide
 Explore many hypotheses
 Find judge evidence
 Many inference algorithms
On the 27th of May 1498, Vasco da
Gama landed in Kappad Beach
400th anniversary
Portugal
May 1898
celebrated
In May 1898 Portugal celebrated the
400th anniversary of this explorer’s
arrival in India.
Kappad Beach
Legend
Temporal Reasoning
Reference Text
Answer
Statistical Paraphrasing
GeoSpatial Reasoning
Question: Supporting Evidence:
© 2015 IBM Corporation22
IBM Watson Hackathon, Israel, June 10-11, 2015
Personality
Insights
Description:
Value Add:
Uses advanced language psychology and analytical capabilities
to generate a profile from a users writing sample.
Characteristics of a user are defined by the Big 5
(Agreeableness, Conscientiousness, Extraversion, Neuroticism,
Openness), Needs, and Values.
Understand their clients' preferences
Anticipate customer needs and recommending future actions.
Improve client acquisition, retention, customer satisfaction and
engagement
Ability to create customer profile segments for quick clustering and
targeting
Capabilities:
Generates a profile based on personality and social traits
© 2015 IBM Corporation23
IBM Watson Hackathon, Israel, June 10-11, 2015
Tradeoff
Analytics
Description:
23
Value Add:
Employs a Pareto Optimal Tradeoff Engine to explore
tradeoffs.
The Tradeoff Analytics service is built atop three technology
pillars:
1. Applied mathematics: Applies mathematical models to
narrow the choices to superior alternatives only.
2. Visual analytics: Interpretation of results in a consumable
and interactive manner.
3. Cognition: Helps guide the decision-making process, from
refining objectives and results to focus on top options only, to
highlighting the tradeoffs among those options.
Users can explore and compare only the best alternatives, without
having to consider the full range of options.
Returns a dilemma that contains the problem and a resolution.The
problem contains a set of options and objectives.The resolution contains
a set of optimal options, their analytical characteristics, and
representation on a 2D space.
Submit feedback to improve machine learning model
Capabilities:
© 2015 IBM Corporation27
IBM Watson Hackathon, Israel, June 10-11, 2015
Watson Common Integration Patterns
Watson APIs:
• Personality Insights
• Tradeoff analytics
Find the best school
that matches your
child personality,
capabilities and
interests
Watson APIs:
• AlchemyAPI - Keyword Extraction (interests)
• Personality Insights (personality match)
• Tradeoff analytics (best match)
Connecting to the people like you
Given your location, the app find nearby tweets
and the users who tweeted them
And match you with others in your area which
could have similar personality traits and
interests
Bluemix & Watson APIs:
• Node-Red
• Personality Insights
Find celebrities have the
most similar (and
different) personalities to
yours
© 2015 IBM Corporation28
IBM Watson Hackathon, Israel, June 10-11, 2015
Machines and Humans working together
© 2015 IBM Corporation29
IBM Watson Hackathon, Israel, June 10-11, 2015
Systems with Domain Expertise
© 2015 IBM Corporation30
IBM Watson Hackathon, Israel, June 10-11, 2015
Join IBM AlphaZone Accelerator!
• 24 weeks program.
• Helping startups to build leading solutions for the
enterprise market.
• Post Seed & Round A funded companies.
• Create long term technology and business partnership
with IBM worldwide.
• Industry specific solutions for Healthcare, Retail, Travel &
Transportation, Energy & Utilities, Telco and Media.
The Cognitive Computing Track
• Focus on a new generation of IT solutions powered by
cognitive computing as well as Big Data, Analytics,
Mobile, Machine learning and AI.
• IBM Alpha Zone has partnered with BD (Becton
Dickinson) to jointly select up to 4 startups.
• A grant of up to $25,000!
http://www.ibmalphazone.com/
© 2015 IBM Corporation31
IBM Watson Hackathon, Israel, June 10-11, 2015
Join IBM Business Connect 2015
Developers Track
http://www-05.ibm.com/il/businessconnect/

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Creating killer apps powered by watson cognitive services - Ronen Siman-Tov, IBM

  • 1. © 2015 IBM Corporation Creating Killer Apps Powered by Watson Cognitive Services June 10-11 2015, Israel IBM Ecosystem Development, Israel Ronen Siman Tov Innovation Center Manager GTU, Cloud Ecosystem Development, IBM Mobile: +972-50-916-5386 e-mail: ronensi@il.ibm.com
  • 2. © 2015 IBM Corporation2 IBM Watson Hackathon, Israel, June 10-11, 2015 What is a Killer App?  Innovative and disruptive app that changes our experience  An implementation of a good business idea which reflects an actual need – Knows your customer – Provides continuous experience via all communication channels  Based on cutting edge technologies: – Cloud Services, IoT, Mobile – And the new player – cognitive computing
  • 3. © 2015 IBM Corporation3 IBM Watson Hackathon, Israel, June 10-11, 2015 What is Watson? https://youtu.be/Y_cqBP08yuA http://www.ibm.com/smarterplanet/us/en/ibmwatson/ A cognitive system that enables a new partnership between people and computers that enhances and scales human expertise. Core Capabilities: 1. NLP – Natural Language Processing 2. Big Data Analysis and Machine Learning 3. Evidence Based Reasoning
  • 4. © 2015 IBM Corporation4 IBM Watson Hackathon, Israel, June 10-11, 2015 Big Picture Overview • Watson API Services break down the cognitive capabilities of Watson into components • Partners are empowered to leverage cognitive services to solve new business problems • Cognitive services can be combined and integrated to provide holistic cognitive solutions
  • 5. © 2015 IBM Corporation5 IBM Watson Hackathon, Israel, June 10-11, 2015 Watson Developer Cloud http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/
  • 6. © 2015 IBM Corporation6 IBM Watson Hackathon, Israel, June 10-11, 2015 AlchemyLanguage™ Real-time text analysis for natural language understanding Most comprehensive knowledge extraction services for text. We power today’s leading real- time applications in advertising, publishing, social media, customer service and commerce
  • 7. © 2015 IBM Corporation7 IBM Watson Hackathon, Israel, June 10-11, 2015 AlchemyLanguage “hierarchy” of popular tagging and extraction calls
  • 8. © 2015 IBM Corporation8 IBM Watson Hackathon, Israel, June 10-11, 2015 AlchemyVision™ New! Teaching computers to ‘see’ for automated image search, classification and tagging Meeting the exploding need for extracting knowledge from images for e-catalogs, commerce, advertising and publishing
  • 9. © 2015 IBM Corporation10 IBM Watson Hackathon, Israel, June 10-11, 2015 Question & Answer Description: Value Add: Interprets and answers user questions directly based on primary data sources (brochures, web pages, manuals, records, etc.) within a 'corpus'. Returns candidate responses with associated confidence levels and links to supporting evidence. Ask questions in natural language Provide domain knowledge and expertise based on a specific set of input documents and other information Returns the list of supported Watson domains defined by each corpus Sends a question to Watson Submit feedback on the QA service for model training Capabilities:
  • 10. © 2015 IBM Corporation11 IBM Watson Hackathon, Israel, June 10-11, 2015 This evidence suggests “Gary” is the answer BUT the system must learn that keyword matching may be weak relative to other types of evidence explorer India In May 1898 India In May celebrated anniversary in Portugal In May, Gary arrived in India after he celebrated his anniversary in Portugal Portugal 400th anniversary celebrated Gary In May 1898 Portugal celebrated the 400th anniversary of this explorer’s arrival in India arrived in arrival in Legend Keyword “Hit” Reference Text Answer Weak evidenceRed Text Question: Supporting Evidence: Answering complex questions requires more than keyword evidence
  • 11. © 2015 IBM Corporation12 IBM Watson Hackathon, Israel, June 10-11, 2015 Watson’s deep semantical capability unlocks new possibilities 27th May 1498 Vasco da Gama landed in arrival in explorer India Para- phrases Geo-KB Date Match Stronger evidence can be much harder to find and score…  Search far and wide  Explore many hypotheses  Find judge evidence  Many inference algorithms On the 27th of May 1498, Vasco da Gama landed in Kappad Beach 400th anniversary Portugal May 1898 celebrated In May 1898 Portugal celebrated the 400th anniversary of this explorer’s arrival in India. Kappad Beach Legend Temporal Reasoning Reference Text Answer Statistical Paraphrasing GeoSpatial Reasoning Question: Supporting Evidence:
  • 12. © 2015 IBM Corporation22 IBM Watson Hackathon, Israel, June 10-11, 2015 Personality Insights Description: Value Add: Uses advanced language psychology and analytical capabilities to generate a profile from a users writing sample. Characteristics of a user are defined by the Big 5 (Agreeableness, Conscientiousness, Extraversion, Neuroticism, Openness), Needs, and Values. Understand their clients' preferences Anticipate customer needs and recommending future actions. Improve client acquisition, retention, customer satisfaction and engagement Ability to create customer profile segments for quick clustering and targeting Capabilities: Generates a profile based on personality and social traits
  • 13. © 2015 IBM Corporation23 IBM Watson Hackathon, Israel, June 10-11, 2015 Tradeoff Analytics Description: 23 Value Add: Employs a Pareto Optimal Tradeoff Engine to explore tradeoffs. The Tradeoff Analytics service is built atop three technology pillars: 1. Applied mathematics: Applies mathematical models to narrow the choices to superior alternatives only. 2. Visual analytics: Interpretation of results in a consumable and interactive manner. 3. Cognition: Helps guide the decision-making process, from refining objectives and results to focus on top options only, to highlighting the tradeoffs among those options. Users can explore and compare only the best alternatives, without having to consider the full range of options. Returns a dilemma that contains the problem and a resolution.The problem contains a set of options and objectives.The resolution contains a set of optimal options, their analytical characteristics, and representation on a 2D space. Submit feedback to improve machine learning model Capabilities:
  • 14. © 2015 IBM Corporation27 IBM Watson Hackathon, Israel, June 10-11, 2015 Watson Common Integration Patterns Watson APIs: • Personality Insights • Tradeoff analytics Find the best school that matches your child personality, capabilities and interests Watson APIs: • AlchemyAPI - Keyword Extraction (interests) • Personality Insights (personality match) • Tradeoff analytics (best match) Connecting to the people like you Given your location, the app find nearby tweets and the users who tweeted them And match you with others in your area which could have similar personality traits and interests Bluemix & Watson APIs: • Node-Red • Personality Insights Find celebrities have the most similar (and different) personalities to yours
  • 15. © 2015 IBM Corporation28 IBM Watson Hackathon, Israel, June 10-11, 2015 Machines and Humans working together
  • 16. © 2015 IBM Corporation29 IBM Watson Hackathon, Israel, June 10-11, 2015 Systems with Domain Expertise
  • 17. © 2015 IBM Corporation30 IBM Watson Hackathon, Israel, June 10-11, 2015 Join IBM AlphaZone Accelerator! • 24 weeks program. • Helping startups to build leading solutions for the enterprise market. • Post Seed & Round A funded companies. • Create long term technology and business partnership with IBM worldwide. • Industry specific solutions for Healthcare, Retail, Travel & Transportation, Energy & Utilities, Telco and Media. The Cognitive Computing Track • Focus on a new generation of IT solutions powered by cognitive computing as well as Big Data, Analytics, Mobile, Machine learning and AI. • IBM Alpha Zone has partnered with BD (Becton Dickinson) to jointly select up to 4 startups. • A grant of up to $25,000! http://www.ibmalphazone.com/
  • 18. © 2015 IBM Corporation31 IBM Watson Hackathon, Israel, June 10-11, 2015 Join IBM Business Connect 2015 Developers Track http://www-05.ibm.com/il/businessconnect/

Hinweis der Redaktion

  1. Cognitive appications can be more tailored towards certain indivduals
  2. Pareto optimality represents a state in which it is not possible to improve any one option without diminishing another option
  3. Pareto optimality represents a state in which it is not possible to improve any one option without diminishing another option
  4. השקף הבא מתאר את תהליך בניית האפליקציה שהיא "Powered by Watson” השלב הראשון הוא להתנסות בשירותים של ווטסון אשר זמינים על פלטפורת Bluemix או ב Watson Developer Cloud ולאחר מכן לבחון כיצד הפתרון שלכם יכול להיות מועשר ע"י יכולות אלו אתם מוזמנים לפנות אלינו לפגישת סיעור מוחות לאפיון use case עם ווטסון שבה נבחן יחדיו: כיצד נכון להעשיר את הפתרון שלכם במצעות ווטסון מהם מקורות הנתונים שעליהם נדרש לממש את היכולות הנ"ל לאחר אפיון ה use case הוא יוצג בפני Watson Ecosystem ותדרשו לחתום על חוזה פיתוח שאינו מחייב ואז תנתן לכם האפשרות לממש אותו במשך 45 יום תוך ליווי צמוד של אנשי ווטסון בתום התקופה תבוצע הערכה מצד אחד ע"י צוות ווטסון לבחינת מה שפותח ומצד שני על ידיכם על מנת לבחון אם מה שפותח תואם לציפיות במידה וקיימת התאמה מלאה מתקדמים לחתימת החוזה המסחרי Try Watson APIs on Bluemix (www.bluemix.net) Think how to empower your solution by Watson We will help you to: Identify the most relevant and attractive use cases Identify the Input Data Sources to Examine Design a Model that fits your data
  5. ההתקדמות בעולם ה Cognitive Computing מאפשרת כיום לממש יכולות שבעבר נראו כחלום רחוק. כיום ההתקדמות שנעשתה בווטסון מאפשרת לבנות פתרונות אשר עונים על צרכים עסקיים ואנו צופים גידול משמעותי ביכולת זו עם הזמן. לדוגמא פתרונות שמאפשרים לקלוט מיד מחיישנים, לנתח אותו, להפיק ממנו תובנות ולהצליב אותו עם תובנות שניתן להפיק ממידע טקסטואלי באמצעות יכולות של עיבוד שפה טבעית ולהציע הצעות רלוונטיות ללקוח. אנחנו צופים שפע של פתרונות שבוניות על Domain Expertise בתחומים שונים כדוגמא: רפואה, תיירות, שירות לקוחות (CRM), Security ועוד לדוגמא חברת GenieMD פתחה פתרון אשר מאפשר לסכנרן את המידע הרפואי על פני כל מכשירי הקצה (טלפונים, מחשבים וטבלטים), לנתח את הנתונים ולהפיק תובנות שבאות לידי ביטוי בהמלצה לבדיקות נוספות שצריך לבצע, מעקב אחר פרמטרים ביומטרים, קבלת התראות ועוד. יכולת זו מאפשרת לנהל מעקב רפואי אישי הדוק בין רופא לחולה, בין בני משפחה – מעקב רפואי עבור ילדים קטנים, הורים מבוגרים או חולים כרוניים. דוגמא נוספת מהפכנית היא בתחום התיירות – חברת WayBlazer משנה את החוויה בה תיירים מחשפים אינפורמציה או עיצה. כל מה שנדרש הוא להקליד את הבקשה בשפה טבעית והמערכת מציעה הצעות רלוונטיות. לדוגמא בחיפוש של מופעי מוזיקה באוסטין נקבל רשימה של מופעים עם תובנות שמגיעות מתוך ניתוח בלוגים ומידע מהרשת החברתית – למשל לא להגיע עם נעלי עקב. לעיצה בנושא מסעדה יוקרתית לארוחה רומנטית נקבל המלצות עם טיפים לגבי קוד לבוש אנחנו צופים פיתוח של יותר ויותר מערכות שבהן מחשבים ואנשים עובדים ביחד. דוגמא מצויינת היא השף ווטסון – מערכת מבוססת ווטסון שממליצה על מתכונים להכנה. למערכת הוזנו חומרי גלם, מתכונים, סגנונת בישול, ומטבחים שונים מבישול שמרני למולקולרי. כמו כן הוזנו העדפות לשילובי טעמים, וקרבה בטעם בין חומרי גלם. לדוגמא: אתם מגיעים הבייתה ובודקים מה יש במקרר ומוצאים פטריות שיטקי, גזרים וכרוב אז אתם מזינים למערכת שאתם מעוניינים לההשתמש ברכיבים הללו. לשאלת סוג התבשיל אתם מזינים לדוגמא:לזניה, סגנון הבישול: אסייתי ולבסוף המערכת שואלת האם אתם מעוניינים במתכון שמרני או יצירתי. Artificial intelligence meets business intelligence Big Data growth is accelerating as more of the world's activity is expressed digitally. Not only is it increasing in volume, but also in speed, variety and uncertainty. Most data now comes in unstructured forms such as video, images, symbols and natural language - a new computing model is needed in order for businesses to process and make sense of it, and enhance and extend the expertise of humans. Rather than being programmed to anticipate every possible answer or action needed to perform a function or set of tasks, cognitive computing systems are trained using artificial intelligence (AI) and machine learning algorithms to sense, predict, infer and, in some ways, think. Systems with domain expertise Cognitive computing systems get better over time as they build knowledge and learn a domain - its language and terminology, its processes and its preferred methods of interacting. Unlike expert systems of the past which required rules to be hard coded into a system by a human expert, cognitive computers can process natural language and unstructured data and learn by experience, much in the same way humans do. While they'll have deep domain expertise, instead of replacing human experts, cognitive computers will act as a decision support system and help them make better decisions based on the best available data, whether in healthcare, finance or customer service. Humans and machines working together In traditional AI, humans are not part of the equation, yet in cognitive computing, humans and machines work together. To enable a natural interaction between them, cognitive computing systems use image and speech recognition as their eyes and ears to understand the world and interact more seamlessly with humans. It provides a feedback loop for machines and humans to learn from and teach one another. By using visual analytics and data visualization techniques, cognitive computers can display data in a visually compelling way that enlightens humans and helps them make decisions based on data. http://venturebeat.com/2014/10/08/6-of-the-best-ways-ibms-watson-is-powering-startups-and-projects/ GenieMD The winner of IBM’s Watson mobile developer challenge, GenieMD gives patients and their caregivers a way to keep track of their health profiles across multiple devices, as well as easily diagnose potential issues. The company also builds a personalized profile of every patient, which allows Watson to deliver health suggestions customized just for them. Chef Watson (Cooking) - Watson recommends recipes that were never tried before Watson Healthcare Cloud Platform – Analyzing unstructured data coming from wearable devices. Way Blazer (Travel & Leisure) - Transforming the way travelers seek advice GenieMD – (Healthcare) - Keeping track of their health profiles across multiple devices, personalized healthcare
  6. דוגמא נוספת מהפכנית היא בתחום התיירות – חברת WayBlazer משנה את החוויה בה תיירים מחשפים אינפורמציה או עיצה. כל מה שנדרש הוא להקליד את הבקשה בשפה טבעית והמערכת מציעה הצעות רלוונטיות. לדוגמא בחיפוש של מופעי מוזיקה באוסטין נקבל רשימה של מופעים עם תובנות שמגיעות מתוך ניתוח בלוגים ומידע מהרשת החברתית – למשל לא להגיע עם נעלי עקב. לעיצה בנושא מסעדה יוקרתית לארוחה רומנטית נקבל המלצות עם טיפים לגבי קוד לבוש Way Blazer (Travel & Leisure) - Transforming the way travelers seek advice