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IBM Watson & Cognitive Computing - Tech In Asia 2016

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IBM Watson & Cognitive Computing - Tech In Asia 2016

  1. 1. & Machine Learning Nugroho Gito – ngito@id.ibm.com IBM Indonesia - Software Architect Cognitive Computing
  2. 2. Agenda 1. What is Cognitive Computing 2. Cognitive Computing Adoption 1. Where we are today 2. Where we are heading tomorrow 3. Cognitive Computing in Vertical Industries 3. Tap into Cognitive Computing evolution 1. Watson API 2. Watson Developer Cloud Resources 4. Demo!!
  3. 3. What is Cognitive Computing
  4. 4. We’ve come a long way… 4 Imagination Innovation … and this is only the beginning! IBM Institute for Business Value
  5. 5. Pioneers and significant events… have shaped where we are today… We are moved increasingly closer to the cognitive functions 5 1974- 1980: 1st AI “Winter” 1950s 1960s 1970s 1980s 1990s 2000s 2010… 1956: “Birth” of AI John McCarthy coins term artificial intelligence (AI) at Dartmouth Conference 1965: First Expert System Stanford team led by Ed Feigenbaum creates DENDRAL 1987- 1993: 2nd AI “Winter” 1950: Turing Test Turing introduces way to test for intelligent behavior 1990s: AI on www AI-based extraction programs prevalent on www 1997: Deep Blue IBM Deep Blue defeats World Chess Champion 2011: Watson IBM’s Watson competes and wins on Jeopardy! 2005: Autonomous Car Stanford-built autonomous car wins DARPA Grand Challenge IBM Institute for Business Value 2014: Key Market Moves IBM formation of Watson Group and Google acquisition of Nest Labs
  6. 6. käg-nə-tiv (adjective): of, relating to, or involving conscious mental activities (such as thinking, understanding, learning, and remembering) Late 16th century: from medieval Latin cognitivus, from cognit- 'known', from the verb cognoscere. Cognitive skills are the core skills your brain uses to think, read, learn, remember, reason, and pay attention. Working together, they take incoming information and move it into the bank of knowledge you use every day at school, at work, and in life What is Cognitive?
  7. 7. Cognitive systems democratize innovation by scaling knowledge. Ingestion, Integration, Governance
  8. 8. Cognitive systems Humans excel at: Dilemmas Compassion Dreaming Abstraction Imagination Morals Generalization Common Sense Cognitive Systems excel at: Natural Language Locating Knowledge Pattern Identification Machine Learning Eliminate Bias Endless Capacity forge a new partnership between man and machine. Cognitive systems amplify human cognition. And the cognitive systems are not programmed. They learn their behavior through training.
  9. 9. Over time, cognitive systems will simulate more of how the brain actually works and help us solve the world’s most complex problems by penetrating the complexity of Big Data.
  10. 10. Cognitive Systems Capabilities REASON They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. UNDERSTAND Cognitive systems understand imagery, language and other unstructured data like humans do. LEARN With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. INTERACT With abilities to see, talk and hear, cognitive systems interact with humans in a natural way. Capabilities differentiate cognitive systems from traditional programmed computing systems…
  11. 11. Cognitive Computing Complements Traditional Analytics by creating a value continuum for the industry Analytics Cognitive Computing  Addresses predefined problems  Addresses ambiguous problems  Provides accurate and definitive answers  Provides answers with a margin of error  Handles information with known semantics  Handles information without explicitly knowing semantics  Interacts in formal digital means (e.g. commands, screens) with humans  Interacts in natural language with humans
  12. 12. Cognitive systems rely on collections of data and information Data, information, and expertise create the foundation. • Examples include: • Analyst reports • tweets • Wire tap transcripts • Battlefield docs • E-mails • Texts • Forensic reports • Newspapers • Blogs • Wiki • Court rulings • International crime database • Stolen vehicle data • Missing persons data
  13. 13. Cognitive Computing Adoption
  14. 14. Watson In 2011, IBM created a system to play the Jeopardy game against the best human players … and named it: Watson won the game
  15. 15. Watson Process Overview . . . Answer Scoring Models Answer & Confidence Question Evidence Sources Models Models Models Models ModelsPrimary Search Candidate Answer Generation Hypothesis Generation Hypothesis and Evidence Scoring Final Confidence Merging & Ranking Synthesis Answer Sources Question & Topic Analysis Evidence Retrieval Deep Evidence Scoring Learned Models help combine and weigh the Evidence Hypothesis Generation Hypothesis and Evidence Scoring Question Decomposition 431 2 https://www.youtube.com/watch?v=DywO4zksfXw&t=44s
  16. 16. How far have we progressed since Jeopardy R&D Demonstration Commercialization Cross-industry Applications IBM Research Project (2006 – ) Jeopardy! Grand Challenge (Feb 2011) Watson for Healthcare (Aug 2011 –) Watson Industry Solutions (2012 – ) Watson for Financial Services (Mar 2012 – ) Expansion New IBM Division
  17. 17. Current IBM Watson Technology Adoption 19 36 Countries 50,000 Students in Melbourne 5.5M Citizens in Singapore 5 Languages Learned by Watson 160 Universities offering Watson courses 400+ Partners Powered by Watson 1.1M Patients at Bumrungrad 29 Industries 80K Developers building with Watson As the Watson technology evolves and deepens, so too are the ways it’s being put to work in the world.
  18. 18. 2020 Help oil companies mitigate risks and improve operations
  19. 19. 2121 Help lawyers get answers to tough legal research questions
  20. 20. 2222 Help doctors diagnose and treat patients
  21. 21. 23 Provides tactical, strategic and command-level access to vast quantities of seemingly unrelated data.
  22. 22. 24 Extends the power of cognitive computing to connected cars, acquiring data from sensors and systems to improve the in-car experience Gartner predicts there will be 250 million connected vehicles on the road by 2020.*
  23. 23. Humanoid companion created to communicate with humans through his voice, touch, and the expression of his emotions. How can I help you? Hi, My name is Pepper, “ “
  24. 24. Where Are We Heading Tomorrow? • There was more than $300 million in venture capital invested in AI startups in 2014, a 300% increase over the year before. (Bloomberg) • By 2020, 85% of customer interactions will be managed without a human. (Gartner) • 32% of executives say voice recognition is the most-widely used AI technology in their business. (Narrative Science) • By 2018, six billion connected devices will proactively ask for support. (Gartner) • 44% of executives believe artificial intelligence’s most important benefit is “automated communications that provide data that can be used to make decisions.” (Narrative Science) • By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners. (Gartner) • 80% of executives believe artificial intelligence improves worker performance and creates jobs. (Narrative Science) • By 2020, smart agents will manage 40% of mobile interactions. (Gartner) • Artificial intelligence will replace 16% of American jobs by the end of the decade. (Forrester) • 15% of Apple phone owners users use Siri’s voice recognition capabilities. (BGR) http://customerthink.com/artificial-intelligence-in-business-10-important-statistics/
  25. 25. Next Cognitive Computing Evolution – Brain Chip SyNAPSE is a DARPA-funded program to develop electronic neuromorphic machine technology that scales to biological levels. More simply stated, it is an attempt to build a new kind of computer with similar form and function to the mammalian brain. Such artificial brains would be used to build robots whose intelligence matches that of mice and cats. http://www.research.ibm.com/cognitive-computing/brainpower/ https://www.youtube.com/watch?v=5izS3lAZHmI
  26. 26. Tap into Cognitive Computing evolution
  27. 27. Follow instructions Programmable computing Numbers, strings, structured, algorithms, precise, deterministic Learn from input Languages, images, videos, unstructured, concepts, relationships, fuzzy, probabilistic Cognitive systems Cognitive Development Requires a paradigm shift
  28. 28. Watson Developer can focus on solving world problems Industry Solutions Cognitive Platform Cognitive Science Probabilistic Statistics Reasoning Algorithm Machine Learning Natural Language Processing Information Retrieval Neural Network Commerce Education Energy Financial Services Health IoT Marketing Security Supply Chain Transportation Public Sector Natural Language Processing Machine Learning Question Analysis Feature Engineering Ontology Analysis
  29. 29. CONVERSATION Watson trained on a domain to understand questions from a real human and answer in context DISCOVERY Watson relied on as a researcher’s assistant to provide guidance on what to look for LANGUAGE ANALYTICS Use Watson to make sense of vast textual data within your systems 360° VIEW Watson deployed to get a 360 degree view of a topic without needing a data mart MICROSERVICES Democratising Cognitive capabilities for developers to access and build FOCUSED The Cognitive Solutions Team is hard at work to create specialised solutions IBM Watson: A Portfolio of Capabilities
  30. 30. Watson APIs to apply cognitive capabilities. 32 Message Resonance Concept Expansion Face Detection Natural Language Classifier Speech to Text Text to Speech Language Translation Language Detection Sentiment Analysis Dialog Retrieve and Rank Image Link Extraction Tradeoff Analytics Entity Extraction Tone Analyzer Personality Insights Taxonomy Author Extraction Concept Tagging Relationship Extraction Concept Insights Relationship Extraction Question & Answer Feed Detection Keyword Extraction Visual Recognition Image Tagging Text Extraction IBM’s Watson technology is served today in the Cloud through 28 publicly accessible APIs Retrieve and Rank Natural Language Classifier Tone Analyzer Natural Language Processing Machine Learning Question Analysis Feature Engineering Ontology Analysis … Soon to become 50 APIs
  31. 31. Team behind IBM Watson Q&A 2011 It took 2 years of multi disciplines IBM Researcher to build the first Watson with IBM DeepQA software to win Jeopardy game back in 2011 www.research.ibm.com/deepqa/deepqa.shtml https://www.research.ibm.com/deepqa/faq.shtml
  32. 32. Natural Language Question Answering System https://github.com/tanmayb123 http://www.atimes.com/article/technology-for-these-indian-kids-coding-is-childs-play/ http://factordaily.com/tanmay-bakshi-worlds-youngest-watson-programmer/ Team behind NLQA 2016 5 years later, IBM has push Cognitive Computing adoption to broader industries and audience
  33. 33. Sign in to IBM Bluemix to access IBM Watson API Get your Bluemix account to access Watson API (http://www.bluemix.net/)
  34. 34. Join cognitive computing evolution now 1. Register Bluemix account http://www.bluemix.net/ 2. Browse Watson API Starter kits https://www.ibm.com/watson/developercloud/starter-kits.html https://github.com/watson-developer-cloud/ 3. Join Watson Developer Cloud Community https://developer.ibm.com/watson/ https://www.ibm.com/developerworks/topics/watson/ http://stackoverflow.com/questions/tagged/ibm-watson-cognitive/ 4. Access Watson API via REST API or SDK https://github.com/watson-developer-cloud/java-sdk https://github.com/watson-developer-cloud/node-sdk https://github.com/watson-developer-cloud/python-sdk https://github.com/watson-developer-cloud/android-sdk https://github.com/watson-developer-cloud/ios-sdk
  35. 35. Watson Demo
  36. 36. Watson Demo 1. Credit Card Navigator 2. Cognitive Claims
  37. 37. Credit Card Navigator 39 Top attractive features on a credit card Credit card usage for college students • Rewards • Card Brand • Flexibility Market Opportunity The average American owns 3-4 credit cards 43% People that apply for a credit card are not confident they will be approved 30% Americans don’t own a credit card Freshmen Sophomore Junior Senior 14% 27% 40% 47%
  38. 38. Credit Card Navigator Overview 40 Natural Language Dialog Educate Humanize the chat bot experience with natural language input and responses. The chat framework is able to educate the user on general knowledge around credit scores, building credit, billing, maximizing benefits, etc.. Chat bot is full of pre-trained intents pertaining to education on various cards, maximizing benefits, personalized recommendation based off the conversation. Solution Components • Watson Conversation • Retrieve & Rank • Text to Speech • Predictive Analytics (future) Content Sources • Credit Card FAQ’s • Credit Card Wikis • Interest Rate Wikis Multi-channel Engagement Whether it is SMS text, in-app messaging, or chat on Facebook or Slack, the chat bot can run on any engagement platform to support customer requirements. Increase Sales Increase Customer Satisfaction Client Benefits:
  39. 39. Insurance Industry - Key Challenges Current state of the industry and how it affects insurance companies 41 Manual Fact Extraction Audit processes have revealed less than 80% of claims meet the quality standard on average 53% of insurance companies cite lack of IT resources as the main stumbling block in implementing anti-fraud technology 50% of a claims professional’s time is spent on administrative activities such as compiling and fact-checking data Manual time intensive task to review all submitted documents and identify additional informational needs Maintaining Knowledge Insurance professionals struggle in identifying and evaluating risk exposure due to lack of uniformity and control Unidentified Fraud ? Each claims handler relies on their own experience to make a liability and valuation determination for claims
  40. 40. Current state of the industry and how it affects insurance companies 42 Fact Extraction Claims Analysis Decisioning Simplify information gathering - Extract info from submission documents - Identify gaps in submission information - Provide provenance and audit trail of facts Transform claims decisioning - Automate simple claims - Provide likelihood of acceptance - Perform pattern-based, contextual fraud analysis Enrich claims data - Identify claims “like this” - Case Law related to the claim - Personality of the claimant solicitor - Workflow management – route to most relevant adjustor CognitiveCapabilities Watson Claims Advisor
  41. 41. Watson Claim Advisor Solution Architecture • Watson Explorer v11 AE for Text Analytics incl Entity Extraction • Watson Document Conversion for converting PDF’s/Word’s into text • Watson AlchemyData News for related news articles relevant / related to the claim • Watson Personality Insights * to create a personality portrait of litigator • Watson Retrieve & Rank * for fetching related sections in the policy guidelines – Watson Visual Recognition * to augment claim based on visual info from photos, etc. • Watson Relationship Extraction with Medical / HC Cartridge 43 Corpus Medical Reports Watson Document Conversion (convert PDF/HTML to Passage Units) WEX AE API’s (annotate & reason facts) Medical Report Passage Units Watson Relationship Extraction (Medical & HC Entity + Relation Extraction) Watson AlchemyData News (Relevant & Related News) IBM Insights for Twitter Cognitive Claims 360o UI (Responsive App) Claims Analyst Raw PDF’s / HTML’s Claims Queue Claims Facts & Details Medical Report Analysis Additional Claims Analytics Claims Data Watson Personality Insights (Claim Solicitor Portrait) Claims Store (Synched from External IT Systems, Files, Box etc.) Bluemix Rules & Workflow Predictive Analytics Watson Retrieve & Rank (for related sections in the policy guidelines)
  42. 42. Cognitive Computing Journal 1. http://ieeexplore.ieee.org/xpl/tocresult.jsp?reload=true&isnumber=6177 717&cm_mc_uid=45715670813514779035039&cm_mc_sid_50200000 =1479265460 2. http://www.research.ibm.com/journal/ 3. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6905473 4. http://ieeexplore.ieee.org/document/7229264/?reload=true&arnumber= 7229264 5. http://www.research.ibm.com/articles/brain-chip.shtml
  43. 43. “In the future, every decision that mankind makes is going to be informed by a cognitive system like Watson” http://www.businessinsider.co.id/ginni-rometty-on-ibm-watson-and-ai-2015-5/#l8EWIWQROgr3tlUi.99
  44. 44. Thank You

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