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Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAccelerate 13/06/2014 @ IBM CC Paris]


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Du Big Data à Watson…
Les principes de Watson
Watson Foundations
Watson Ecosystem
Exemples de réalisations et ……..Watson et la cuisine

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Analytics et Big Data. Vers une informatique cognitive et Watson. [#CloudAccelerate 13/06/2014 @ IBM CC Paris]

  1. 1. © 2014 IBM Corporation Christel Beltran Partner Executive, IBM Ecosystem Development Team @chrisbel99 PARLONS avec WATSON !
  2. 2. © 2014 IBM Corporation Agenda Du Big Data à Watson… Les principes de Watson Watson Foundations Watson Ecosystem Exemples de réalisations et ……..Watson et la cuisine
  3. 3. © 2014 IBM Corporation What do we mean by Big Data ? Volume Terabytes to exabytes of existing data to process Velocity Streaming data, milliseconds to seconds to respond Variety Structured, unstructured, text and multimedia Veracity Uncertainty from inconsistency, ambiguities, etc.
  4. 4. © 2014 IBM Corporation How is Big Data changing Analytics? Foundational • What happened? • When and where? • How much? Predictive • What will happen? • What will be the impact? • Dashboards • Data repositories • Basic reporting • Individuals spreadsheets • Enterprise analytics • Evidence-based decisions • Outcomes analytics Decision support analytics • Personalised decisions • Population risk models • Optimizing LoB systems Prescriptive • What are potential scenarios? • What is the best course? • How can we pre-empt and mitigate the crisis? Transaction reporting Data integration Data warehouse Predictive analytics
  5. 5. © 2014 IBM Corporation Adding Natural Language Processing Text Analytics (NLP*) describes a set of linguistic, statistical, and machine learning techniques that allow text to be analyzed and key information extraction for business integration Not only was the pick-up line at the counter very long, but I waited 30 minutes just to talk to a rude representative who gave me a car that smelled like smoke, had stained floor mats, a dented fender, and only half a tank of gas
  6. 6. © 2014 IBM Corporation Informed decision making: search vs. Watson
  7. 7. © 2014 IBM Corporation Watson is ushering in a new era of computing 1900 1950 2011
  8. 8. © 2014 IBM Corporation Watson Concept Basics Have a question and answer requirement, with questions posed in natural language Seek answers and insights from a defined data repository (i.e. corpus) comprised largely of unstructured data Provide transparency and supporting evidence for confidence weighted responses to questions and queries
  9. 9. © 2014 IBM Corporation Cross-industry • Watson Engagement Advisor • Watson Discovery Advisor • Watson Policy Advisor • Watson Explorer Industry-specific • Watson Health Cloud • Watson Travel Cloud • Watson Retail Cloud • Etc…. Ecosystem • Watson Developer Cloud • Watson Content Store • Watson Talent Hub Watson Products and Services Business solutions and services • IBM Decision Management • IBM Content Analytics • IBM Planning & Forecasting • IBM Discovery & Exploration • IBM BI & Predictive Analytics • IBM Content Management • IBM Hadoop System • IBM Stream Computing • IBM Data Management & Data Warehouse • IBM Information Integration & Governance WATSON FOUNDATIONS New era big data and analytics capabilities “Powered by:” Ex. Interactive Care Guide & Reviewer Powered by Watson (Wellpoint) API branding: A modern approach to “ingredient” branding – design Watson-enabled Solutions (IBM & Client) IBM and client solutions that incorporate Watson services Introducing the IBM Watson family
  10. 10. © 2014 IBM Corporation What is the Watson Ecosystem? The Watson Ecosystem empowers development of “Powered by IBM Watson” applications. Partners are building a community of organizations who share a vision for shaping the future of their industry through the power of cognitive computing.
  11. 11. © 2014 IBM Corporation The Watson Ecosystem is composed of complementary, interconnected partners Talent Partners Content Partners App Partners Develop cognitive powered applications powered by IBM Watson Fuel the ecosystem with content to drive cognitive applications Support application partners with developing and designing their solutions Watson Developer Cloud Watson Content Store Watson Talent Hub
  12. 12. © 2014 IBM Corporation What constitutes a good use case?
  13. 13. © 2014 IBM Corporation A problem that has a deep or wide knowledge base A problem that has a tendency for unstructured natural language questions either implied or explicit A problem where questions can have multiple correct answers, but only one best answer A problem where the answer is based on multiple related or unrelated pieces of knowledge (not data). What Makes a Watson Project ?
  14. 14. © 2014 IBM Corporation Watson application Roadmap Work with IBM team to solidify use case strategy Define business case & content strategy Access the Watson Dev Cloud through tools and API Build the prototype solution Socialize in market Build a commercial application, enrich, train and test application Final testing before product release Align use case with rapid start criteria Sign up IBM PartnerWorld Submit Ecosystem application Go-to-Market Plan Execute on Go to Market Deploy the product “Powered by Watson” Expand usage in future releases
  15. 15. © 2014 IBM Corporation Memorial Sloan-Kettering Cancer Center Challenge • Transform the quality and speed of care delivered to patients through individualized, evidence based medicine using cognitive computing Solution • IBM Watson applies big data and analytics and cognitive computing by processing, analyzing and interpreting complex clinical information to improve health care quality and efficiency Benefits • Provides individualized treatment options through insights gleaned from cognitive systems • A first of-its-kind Watson cloud based advisor identifies individualized treatment options for cancer patients • Oncologists located anywhere can remotely access detailed treatment options 1515
  16. 16. © 2014 IBM Corporation North American Bank plans to use Watson to improve customer service by promoting faster, more consistent agent responses. Need • Level two support challenged to cover a broad range of products and services • Need to draw upon vast information sources • Difficult to keep up with quickly changing policies, procedures and regulations Solution Expected Benefits • Reduce the team’s load • Improve accuracy and consistency • Reduce waiting times for customers looking for answers Global Financial Services Company plans to use Watson to improve customer service by promoting faster, more consistent agent responses Need • Challenged to cover a broad range of products and services • Vast information sources • Quickly changing policies, procedures and regulations Solution • Use Watson as a resource to the support team • Ingest manuals, call logs, and users groups, as well as procedures mandated by the bank policies and the government regulations Expected Benefits • Improve customer satisfaction through better accuracy and responsiveness • Scale its business through increasing products, customers, and volumes of data without overwhelming staff
  17. 17. © 2014 IBM Corporation Watson et la cuisine … beaucoup moins anecdotique que cela ne peut sembler Cantines Malades Diététique en général Bel exemple de mise en œuvre des capacités cognitives de Watson Pour en savoir plus (2.48mn, foodtruck experience) (2.28mn, genèse du projet)
  18. 18. © 2014 IBM Corporation
  19. 19. © 2014 IBM Corporation J’espère vous avoir donné envie d’en savoir plus ! Pour soumettre votre dossier Watson, Science Behind an Answer Xw Watson: Ushering in a new era of computing Jeopardy! Gameshow Challenge Day 1: Day 2: Day 3: