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Cognitive Systems

Gastvortrag Hochschule Aschaffenburg Machine Learning Watson Cortana Alexa

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Cognitive Systems

  1. 1. 1January, 2017CSC Proprietary and Confidential Cognitive Systems M. Sc. Lukas Ott Wintersemester 2016/17 Hochschule Aschaffenburg
  2. 2. 2January, 2017CSC Proprietary and Confidential Agenda • Gartner Hypecycle • Watson & other Services • What is cognitive? - Basics • Influence of the “Cognitive Era” on our professional life (Discussion)
  3. 3. 3January, 2017CSC Proprietary and Confidential Agenda • Gartner Hypecycle • Watson & other Services • What is cognitive? - Basics • Influence of the “Cognitive Era” on our professional life (Discussion)
  4. 4. 4January, 2017CSC Proprietary and Confidential Gartner Hype Cycle - Explained Innovations- Trigger Peak of Inflated Expect Trough of Disillusionment Slope of Enlightment Plateau of Productivity time expectations
  5. 5. 5January, 2017CSC Proprietary and Confidential Gartner Hype Cycle - Explained
  6. 6. 6January, 2017CSC Proprietary and Confidential
  7. 7. 7January, 2017CSC Proprietary and Confidential Gartner Hype Cycle 2016
  8. 8. 8January, 2017CSC Proprietary and Confidential CSC Trends 2017
  9. 9. 9January, 2017CSC Proprietary and Confidential Agenda • Gartner Hypecycle • Watson & other Services • What is cognitive? - Basics • Influence of the “Cognitive Era” on our professional life (Discussion)
  10. 10. 10January, 2017CSC Proprietary and Confidential What are cognitive services?
  11. 11. 11January, 2017CSC Proprietary and Confidential What are cognitive systems? • Cognitive systems understand (partly) human expressions. –Text, verbal and visual through extraction of the actual intent of problem •They learn through known patterns. –For the meaning they need examples and feedback. –They interact with humans with their own words and expressions.
  12. 12. 12January, 2017CSC Proprietary and Confidential What are the possibilities a cognitive system like Watson can do? Cognitive • Natural Language Processing • Translation • Speech to text • Confidence • Personality insights • Machine learning • Trend analysis • Context analysis • Image analysis Analytics • Structuring unstructured Data • Building dashboards • Creating a corpus of knowledge • Combining multiple data sources • Knowledge classification • Data integration
  13. 13. 13January, 2017CSC Proprietary and Confidential Watson Jeopardy Relationship Extraction Questions & Answers Language Detection Personality Insights Keyword Extraction Image Link Extraction Feed Detection Visual Recognition Concept Expansion Concept Insights Dialog Sentiment Analysis Text to Speech Tradeoff Analytics Natural Language Classifier Author Extraction Speech to Text Retrieve & Rank Watson News Language Translation Entity Extraction Tone Analyzer Concept Tagging Taxonomy Text Extraction Message Resonance Image Tagging Face Detection Answer Generation Usage Insights Fusion Q&A Video Augmentation Decision Optimization Knowledge Graph Risk Stratification Policy Identification Emotion Analysis Decision Support Criteria Classification Knowledge Canvas Easy Adaptation Knowledge Studio Service Statistical Dialog Q&A Qualification Factoid Pipeline Case Evaluation Natural Language Processing Machine Learning Question Analysis Feature Engineering Ontology Analysis Jeopardy Watson Watson Explorer Jeopardy Watson Watson Knowledge Studio Jeopardy Watson Watson Engagement Advisor Jeopardy Watson Watson Company Analyser Jeopardy Watson Watson Analytics IBM Watson is a growing platform and set of solutions & tooling Industries
  14. 14. 14January, 2017CSC Proprietary and Confidential IBM Watson Services
  15. 15. 15January, 2017CSC Proprietary and Confidential
  16. 16. 16January, 2017CSC Proprietary and Confidential Amazon Alexa – Homemade Skills for the Smart Home
  17. 17. 17January, 2017CSC Proprietary and Confidential • Azure ML Studio • Cognitive Services (extract): • Speech Recognition • Knowledge Extraction • Language Recognition Cortana Intelligence Suite
  18. 18. 18January, 2017CSC Proprietary and Confidential Cortana skills
  19. 19. 19January, 2017CSC Proprietary and Confidential Agenda • Gartner Hypecycle • Watson & other Services • What is cognitive? - Basics • Influence of the “Cognitive Era” on our professional life (Discussion)
  20. 20. 20January, 2017CSC Proprietary and Confidential Steps for the semantic intelligence of machines
  21. 21. 21January, 2017CSC Proprietary and Confidential How does it work?
  22. 22. 22January, 2017CSC Proprietary and Confidential Named Entity Recognition - NER Format Analyses Tokenizer Named Entity Recognition Text
  23. 23. 23January, 2017CSC Proprietary and Confidential NLP – Part-of-speech Tagging and Treebank
  24. 24. 24January, 2017CSC Proprietary and Confidential Named Entity Recognition - NER Format Analyses Tokenizer Named Entity Recognition Relationship detection and Classification Text
  25. 25. 25January, 2017CSC Proprietary and Confidential NLP – Semantic nets
  26. 26. 26January, 2017CSC Proprietary and Confidential Device Function ality Service hasService hasFunctionality Operation hasOperation Input isExposedBy consistsOf consistsOf ? Method hasMethod Output hasInput hasOutput Target hasTarget Aspect refersTo Measuring Controlling Thing Location hasLocation quantifies Thing Property hasProperty hasAspect is-a is-a is-a is-a Ontology – Domaine – Knowledge Graph Reference material from TS-0012: oneM2M Base Ontology
  27. 27. 27January, 2017CSC Proprietary and Confidential Linked data
  28. 28. 28January, 2017CSC Proprietary and Confidential Neural networks
  29. 29. 29January, 2017CSC Proprietary and Confidential •Supervised (Regression / Classification) Types of Machine Learning SVM (Classification)•Unsupervised (Clustering) K- Means (Clustering)
  30. 30. 30January, 2017CSC Proprietary and Confidential Software – Algorithms for decision making •Rule-based decisions –If condition then action 1 or action 2 –Examples: •threshold •Simple machine programming •Statistical reasoning –Simple regression –Examples: •Outlier detection •Interpolation •Predictive Maintenance •Machine Learning –Classification tasks –Examples: •Identification of relevant features from a huge dataset •Quality assurance with different metrics •Artificial Intelligence –Dynamic Adaption –Examples: •Self-driving cars •Human-like conversations •Intelligent assistance every programmer Data Scientist Complex System Engineer
  31. 31. 31January, 2017CSC Proprietary and Confidential From Big Data to smart Applications • Big Data – Web content (Blogs) – Social Networks – Online Activities (Search and Buy) – Enterprise applications (ERP, CRM) – Internet of Things (sensor data) – Processes – Text based content (reports) – Knowledge representation • Smart Applications –Predictions –Planning –Analyses –Discover –Detection –Comparison • Data acquisition –Data preparation –Natural Language Processing •Entity- Extraction •Relation - Extraction •Taxonomy - Generation •Semantic Graph • Machine based reasoning –Intents –Recommendations –Context –Semantic search –Rules –Machine learning
  32. 32. 32January, 2017CSC Proprietary and Confidential
  33. 33. 33January, 2017CSC Proprietary and Confidential •People – Understand what kind of people are interacting with your application •Interact – Understand the context and the intent •Naturally - Understand and respond like people normally would do Interact naturally with people
  34. 34. 34January, 2017CSC Proprietary and Confidential Find evidence to support responses Cognitive Computing and Analytics Trained to Understand, Discover & Learn “Ingest” relevant data across a broad domain to create a repository Understand an ambiguous English language inquiry Generate potentially relevant responses Rank responses with confidance factors and adapt from machine learning Hello Mickey, Welcome to ABC Insurance Train
  35. 35. 35January, 2017CSC Proprietary and Confidential
  36. 36. 36January, 2017CSC Proprietary and Confidential Pepper the first robot that read emotions– Already in use for shops and trade fairs
  37. 37. 37January, 2017CSC Proprietary and Confidential Agenda • Gartner Hypecycle • Watson & other Services • What is cognitive? - Basics • Influence of the “Cognitive Era” on our professional life (Discussion)
  38. 38. 38January, 2017CSC Proprietary and Confidential Influence of the “Cognitive Era” on our professional life (Discussion)
  39. 39. 39January, 2017CSC Proprietary and Confidential Outlook and abstract Cognitive Services Watson/ Cortana/ Alexa Services Future of Artificial Intelligence
  40. 40. 40January, 2017CSC Proprietary and ConfidentialCSC Proprietary and Confidential 40 Thank you! Questions? Feedback!
  41. 41. 41January, 2017CSC Proprietary and Confidential Quellen • Gartner Hype Cycle • http://www-05.ibm.com/de/watson/index.html • IBM Watson Academy • https://www.ibm.com/watson/developercloud/project-intu.html • IBM Watson Developer Conference, November 2016, San Francisco • How to Make Intelligent Robots That Understand the World | Danko Nikolić | TED • http://www.slideshare.net/DankoNikolic1/how-data-science-works- and-how-can-customers-help • https://www.microsoft.com/cognitive-services/en-us/apis • http://www.economist.com/technology-quarterly/2017-01-07
  42. 42. 42January, 2017CSC Proprietary and Confidential

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Gastvortrag Hochschule Aschaffenburg Machine Learning Watson Cortana Alexa

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