IBM Watson Ecosystem roadshow - Chicago 4-2-14

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IBM Watson is powering a new generation of cognitive applications. Learn how IBM is partnering with visionaries and entrepreneurs to bring innovative cognitive applications to market through the IBM Watson Ecosystem.

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IBM Watson Ecosystem roadshow - Chicago 4-2-14

  1. 1. Welcome to Watson Innovation Day Lauri Saft Director, Partner Recruitment IBM Watson Ecosystem
  2. 2. 2 © 2014 International Business Machines Corporation © 2014 International Business Machines Corporation 2 The Watson Ecosystem is about you, and this Watson Innovation Day is for you Here’s what we hope you get out of today: • Inspire you with a clearer understanding of how IBM Watson can propel your business to a new level • Help shape the vision for your Watson cognitive application with an actionable success criteria • Equip you with a pragmatic sense for the process to build a Watson application and the enabling technology that is available to you • Give you a tangible feel for how IBM will partner with you, from inception through go-to-market and beyond to help you make money
  3. 3. 3 © 2014 International Business Machines Corporation 3 What’s in it for you in the IBM Watson Ecosystem partnership? • Growth through new revenue opportunities and reach to new clients • Branding your cognitive application; “Powered by Watson” • Build a competitive edge to disrupt your market • Align with IBM Watson Research as we move build the cognitive era • Collaborative IBM/Partner presentations at industry & IBM customer events • Define a new industry standard
  4. 4. 4 © 2014 International Business Machines Corporation 4 Time Agenda Speaker 8:00am – 8:30am Registration / Breakfast / Networking 8:30a-9:30am IBM Watson Level Set: What is Watson / Cognitive computing, What does the Ecosystem have to offer you? Where is IBM taking Watson in the future? Lauri Saft Director, IBM Watson Partner Recruiting 9:30am - 10:15am Getting Ready for Watson – How to Evaluate the Business and Technical Synergy and Chart Your Course for a Watson Cognitive Application Jodie Sasse Director, IBM Watson Partner Engagement 10:15am - 10:30am Break 10:30am - 11:00pm Our Journey with Watson Jeff Cohen Co-Founder, WellTok 11:00am – 11:45am Getting Started with Watson: An Overview of the “Powered by Watson” Development Process with the Watson Developer Cloud Sridhar Sudarsan CTO, IBM Watson Ecosystem 11:45am – 12:00pm Wrap up: Where Do I Go From Here? Lauri Saft 12:00pm – 1:00pm Lunch and Networking Chicago room 1:00pm – 3:00pm 1:1 Consultations with IBM Watson Executives Hands on “Work with Watson” Sessions with IBM Watson Technologists Breakout rooms Agenda
  5. 5. What is Watson and Cognitive Computing?
  6. 6. 6 © 2014 International Business Machines Corporation On February 14, 2011 made history
  7. 7. 7 © 2014 International Business Machines Corporation Watson is ushering in a new era of computing Tabulating Systems Era Programmable Systems Era Cognitive Systems Era 1900 1950 2011
  8. 8. 8 © 2014 International Business Machines Corporation © 20 Watson has opened up a world of new possibilities size speed corpus flexibility #users size speed corpus flexibility #users 2880 cores Single user system 2-3 sentences input 5+ days to retrain Wikipedia, general corpus Single Power 750, 240% faster 1000s of users 20 pages of input < Day to ingest and train Medical corpus Watson cloud service Millions of users Dialog chaining Few hours Broad industry corpus s sp corp flexibi #users
  9. 9. 9 © 2014 International Business Machines Corporation 2013 recap Watson Engagement Advisor - May 21st Watson Engagement Advisor announced Cross-industry and cross- geography play January April July October First Two Commercial Offerings February 8th First 2 healthcare products were announced with MSK and WellPoint 2014 Watson Ecosystem November 14th Watson Ecosystem announced Driving innovation and fostering new possibilities Watson Healthcare Update – Oct. 18 MD Anderson launches Expert Oncology Advisor powered by Watson Watson used to bridge clinical practice and medical research
  10. 10. 10 © 2014 International Business Machines Corporation Watson has the potential to transform how industries and individuals interact and make every day decisions. Watson helps make individuals, enterprises and society smarter by engaging the collective knowledge and insight of the market. IBM is investing in Watson’s future – January, 2014 announce •IBM Watson Group •2000+ professionals •$1B+ invested over next few years •New Watson HQ – NY (Silicon Alley) •New Watson Offerings •$100M equity investment in the Watson Ecosystem
  11. 11. 11 © 2014 International Business Machines Corporation Understands natural language and human style communication Adapts and learns from training, interaction, and outcomes Generates and evaluates evidence-based hypothesis 1 2 3 Watson combines transformational capabilities to deliver a new world experience Watson understands me. Watson engages me. Watson learns and improves over time. Watson helps me discover. Watson establishes trust. Watson has endless capacity for insight. Watson operates in a timely fashion.
  12. 12. 12 © 2014 International Business Machines Corporation Watson makes sense of natural language, like: Welch ran this? “If leadership is an art then surely Jack Welch has proved himself a master painter during his tenure at GE.” Person Organization L. Gerstner IBM J. Welch GE W. Gates Microsoft Structured Data Unstructured Data Understanding language is critical to 21st century computing • Noses that run and feet that smell? • Ship by truck and send cargo by ship? • How can a slim chance and a fat chance be the same, while a wise man and a wise guy are opposites? • How can a house burn up as it burns down? • Why do we fill in a form by filling it out? • How does an alarm go off by going on?
  13. 13. 13 © 2014 International Business Machines Corporation Deep natural language processing is NOT keyword search Watson is not about rules-based search or speech processing Traditional systems use keyword and synonym matching to find documents Expert systems need rules to demonstrate expertise These systems trade off precision for accuracy outside of what they are programmed to recognize Cognitive systems, like humans, know how to apply context, fill in the gaps, resolve ambiguity and uncertainty, and accurately interpret language Keyword search and expert systems are not able to recognize the subtleties, idiosyncrasies, and ambiguities inherent in common human language
  14. 14. 14 © 2014 International Business Machines Corporation Answering complex questions requires more than keyword 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 This evidence suggests “Gary” is the answer BUT the system must learn that keyword matching may be weak relative to other types of evidence arrived in arrival in Legend Keyword ““““Hit”””” Reference Text Answer Weak evidenceRed Text Question: Supporting Evidence:
  15. 15. 15 © 2014 International Business Machines Corporation Watson leverages multiple algorithms to perform deeper analysis 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:
  16. 16. What is the IBM Watson Ecosystem?
  17. 17. 17 © 2014 International Business Machines Corporation Enhance customer / member /Enhance customer / member /Enhance customer / member /Enhance customer / member / citizen / patients experiencecitizen / patients experiencecitizen / patients experiencecitizen / patients experience Watson Developer Cloud delivers the tools, methodologies, software developer kits and API(s) for App Partners to build the next generation of cognitive applications. Watson Talent Hub bridges App Partners resource gaps by providing a marketplace for critical cognitive, big data, UI, and mobility skills. IBM Watson Ecosystem – a community of complementary, interconnected partners Watson Content Store provides sources of free and fee based content including public, subscribed and enterprise content. App Partner Talent Partner Content Provider/Partner Watson Content Store WatsonWatsonWatsonWatson DeveloperDeveloperDeveloperDeveloper CloudCloudCloudCloud Watson Platform & Tools
  18. 18. 18 © 2014 International Business Machines Corporation A community for ongoing dialogue, collaboration & interaction Developer Q&A Forum: DeveloperWorks Active forums and blogs https://www.ibmdw.net/watson/ Engagement with IBM Watson technologists and other SME’s “Office Hours” on the dW forum 12-1pm EST through April 14, 2014 Watson “Tech Talks” web conferences – coming in Q2, 2014 Growing social dialogue Twitter: @IBMWatson LinkedIn: Watson Advocates Group Facebook: facebook.com/ibmwatson In process Single community with tools, tips, tricks, ideas and conversation Meet-ups and hangouts with Cognitive business & tech leaders Content, Interaction, and events
  19. 19. 19 © 2014 International Business Machines Corporation 1 • Work with a handful of partners in target industries (healthcare, retail, travel & transportation) • Harden platform & tools • Refine content ingestion • Build scalable approach to the broader partner marketplace 2Q 2014 • First “Powered by Watson” cognitive application partners commercialize products and bring to market • Expand content partnerships for general domain and industry specific content stores • Talent partnerships expanded to meet needs of new partners and new markets 2H 2014 • Expansion into English speaking international markets • Streamlined self-service tools deployed through Watson Experience Manager • Additional Watson capabilities/services brought online for Ecosystem Partners 1H 2015 • Developer Cloud opened to a broader partner marketplace The Partner Ecosystem will expand aggressively each quarter 1H 2014
  20. 20. 20 © 2014 International Business Machines Corporation A clearing house of unique and varying sources of data – general knowledge, industry specific content, and subject matter expertise – from a variety of sources. The Watson Content Store offers fuel for apps 20© 2014 International Business Machines Corporation ISVs •Fuel your application with a variety of content •Easily access multiple sources •Quickly get value from content Content Providers • Distribute via a new channel • Generate revenue • Control price & use • Gain insight into adoption Benefits
  21. 21. 21 © 2014 International Business Machines Corporation Healthcare Example using IBM Watson Content Store Clients Types of Content • Content Store: General, Domain Specific • App: Partner Specific, Client Specific Content Models • Subscription • Transaction • Other MedInsights Procedures MMG Best Practices Domain Content Partner App Client & Partner Content Healthcare Platform General Content Watson Healthcare Cloud MidWest Medical Group Excel Physicians Practice MedInsights powered by IBM Watson Watson Platform Medical Journals
  22. 22. 22 © 2014 International Business Machines Corporation IBM Watson works with talent partners to make their skills available in the Watson Talent Hub to assist Development Partners Watson SMEs provide input and coaching to the Talent Partners Talent Partners develop Watson- validated talent Talent Partners build individual landing pages Talent Partners engage App Partners to learn about their needs Talent Partner receive project requests from App Partners App Partners agree to terms and provide basic information App Providers gain access to Watson-validated talent App Partners Talent Partners Watson hosts a Talent Hub within the Experience Manager App Partners find Talent Partner landing pages through WEM Talent Hub
  23. 23. 23 © 2014 International Business Machines Corporation Talent groups follow the cognitive application development lifecycle. NLP and AI skills are not required to launch a “Powered by Watson app Content Management User Experience Design Cross-Platform / Web Mobile Front-end Development Web Crawling & Content Scraping Web Scripting Parsing User Experience User Interface Web Framework Libraries Programming TalentGroupsSpecialtyFields Talent groups launching in 2Q 2014
  24. 24. 24 © 2014 International Business Machines Corporation Access to talent is simplified and streamlined
  25. 25. 25 © 2014 International Business Machines Corporation Talent validation will evolve into a formal Certification Program Content Management Situational Exam Watson Fundamentals Multiple Choice User Experience Situational Exam Front-end Development Situational Exam Content Collection Content Curation Formatting Cleansing Recurring feeds UI/UX Design Visual Copy Cross-platform Application Development Mobile Application Development Ideation Prototyping Broad-based knowledge of Watson Talent Partner Qualified Talent Level II: Demonstrated domain expertise as it relates to Watson Level I: Demonstrated general domain expertise and understanding of Watson
  26. 26. 26 © 2014 International Business Machines Corporation Take the Watson Developer Challenge: • Opportunity for Mobile Developers to create the next great cognitive mobile app – announced at Mobile World Congress by Ginni Rometty • Finalists get access to Watson for one business week to prototype their Watson instance and mobile app • The top 5 prototypes present live to IBM Executives • Winners join the Watson Ecosystem and get access to IBM Interactive design Services
  27. 27. 27 © 2014 International Business Machines Corporation Contest Overview Submissions: 2/26/2014 – 4/15/2014 Finalist selection: 4/28 Prototyping Period: 4/28 – 5/20 Winners Announced: 5/31 • Submission phase: Applicant submit their application concepts. • Judging is based on: • Target market that is clearly defined • Compelling use case for Watson • Can be delivered via mobile • Access to data to provide insight (English prose in text form) • Existing customer base
  28. 28. 28 © 2014 International Business Machines Corporation 1:1 business and technical consultations are available today from 1-3pm. Sign up at registration desk.
  29. 29. Getting Ready for Watson Evaluating the Business and Technical Synergy and Charting Your Course Jodie Sasse Program Director, Engagements IBM Watson Ecosystem
  30. 30. 30 © 2014 International Business Machines Corporation How do I start my journey with IBM Watson? 1.What is the business value to the “Powered by Watson” application you intend to build? 2.Does the application draw upon the unique characteristics and capabilities of a cognitive offering? 3.Has the content that will fuel the application been identified and can it be secured/licensed for the intended use? Have a question and answer interaction pattern, with questions posed in natural language Seek answers and insights from a defined content repository comprised largely of unstructured data Need transparency and supporting evidence for confidence weighted responses to questions and queries The best use cases must…..
  31. 31. 31 © 2014 International Business Machines Corporation Content Capabilities ConceptCommitment Clients • Ownership / Access to content • Form - unstructured • Format – ingestible • Use case alignment w/technology • Leverages cognitive strengths • Market potential • Market impact (disruptive) • Exec sponsorship • Priority capability • Resource commitment • Anchor client potential • Installed base Requirements for rapid success
  32. 32. 32 © 2014 International Business Machines Corporation What do I get as an IBM Watson Ecosystem Application Partner? Use of the Watson Developer Cloud, including: Watson Experience Manger and other tooling API to access the QA service to Watson Documentation and tutorials Workspace to enrich Watson with content Workspace to train and test your application Customizable user interface to embed into your application Guidelines on using Watson elements in the application Upload content into the Watson Content Store or source through Ecosystem partners Access to a network of partners, customers, content and talent Support from a collaborative community of IBM technical, marketing and sales resources
  33. 33. 33 © 2014 International Business Machines Corporation 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 Execute on Go to Market Deploy the product “Powered by Watson” Expand usage in future releases Planning your Watson application roadmap in 12 – 16 weeks • Align use case with rapid start criteria Sign up IBM PartnerWorl d Submit Ecosystem application Ready Engage Prototype Build Deploy Go-to-Market Plan and Execute
  34. 34. 34 © 2014 International Business Machines Corporation 1. Explore use case for Watson business and technical alignment 2. Submit Watson Ecosystem application https://ibm.biz/watsonecosystemapply 3. Join the IBM PartnerWorld community at http://www.ibm.com/PartnerWorld Step 1: Ready Phase Ready Engage Prototype Build Deploy
  35. 35. 35 © 2014 International Business Machines Corporation Access the Watson Developer Cloud Enrich Watson : Acquire, Upload, Ingest, Deploy content using the Watson Experience Manager Create application prototype with Watson as a component Identify and begin acquiring content Create user experience mockups Develop Q&A pairs Test Socialize prototype with client base Phase 2: Prototype Ready Engage Prototype Build Deploy
  36. 36. 36 © 2014 International Business Machines Corporation Capture market requirements through advanced discussions with early clients Create a minimum viable product “Powered by Watson” Continue to refine the architecture, design for interaction and integration patterns with Watson Sign beta clients Develop application Iteratively: Enrich Watson further with content Train Watson using Subject Matter Experts Test functionally and non-functionally Plan for go-to-market (sales, support, marketing) Formalize content strategy Phase 3: Build Ready Engage Prototype Build Deploy
  37. 37. 37 © 2014 International Business Machines Corporation Prepare for commercialization, launch and other go-to-market activities Plan for application rollout with initial set of users Set up support, system usage metrics, and other parameters for application monitoring Execute on plan to expand users, application functionality and content Based on market feedback and usage, iteratively plan and build out scenario(s) further and more broadly Phase 4: Deploy Ready Engage Prototype Build Deploy
  38. 38. 38 © 2014 International Business Machines Corporation What is the cost to be part of the IBM Watson Ecosystem? Application Partners IBM Developer Cloud Engage, Prototype, Build Phase: Free Deploy phase : Revenue share Deploy phase,: Application Hosting thru Softlayer Optional) Contracted and billed separately IBM Watson Content Store • Free to upload own data • Content available via Content Store with standard terms: Free and Fee IBM Watson Talent Hub • Certified talent resources: Fee based determined by talent provider Content Partners • Free to upload and process content on the IBM Watson Content Store • Revenue share for content used Talent Partners • Free participation (qualified) in IBM Watson Talent Hub • Revenue share for talent services provided
  39. 39. Getting Started with Watson An Overview of the Watson Development Process Sridhar Sudarsan Chief Technical Officer IBM Watson Ecosystem
  40. 40. 40 © 2014 International Business Machines Corporation Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application The process for building your “Powered by Watson” app
  41. 41. 41 © 2014 International Business Machines Corporation Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application The process for building your “Powered by Watson” app
  42. 42. 42 © 2014 International Business Machines Corporation Design and Develop “Powered by Watson” apps using the QA API 1. Design interaction and integration patterns with Watson and implement proof points as necessary 2. Establish the architecture with Watson and other components 3. Implement and model solution to scale as a product with customization Key points Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application
  43. 43. 43 © 2014 International Business Machines Corporation Application powered by Watson using QAAPI Pose Natural language question Communicates with Watson using QAAPI Get response Optionally, further apply Watson response and/or other metadata An example solution pattern used with Watson • Design a solution with Watson as a key component • Model the interaction patterns with Watson • Create user experience mockups for the solution
  44. 44. 44 © 2014 International Business Machines Corporation Guidelines for interaction patterns with Watson Use the following guidelines when evaluating the suitability of a specific solution: •Tips for the “Ask” service •Answers must be found in the content resources ingested in Watson •Answers must be explicit in the content; Watson cannot synthesize answers •Answers must be discrete – Watson cannot combine information from various documents or create an answer that is a deduction from passages it finds (future) •Questions must not require Watson to make judgments •Descriptive questions •Questions can be approximately one to three sentences long •Questions should require answers of a small paragraph (about three sentences or less)
  45. 45. 45 © 2014 International Business Machines Corporation Watson works with different types of interactions Question Type Description Example Factoid ( only supported question capability in Jeopardy ) Simple fact regarding time, location, reference, quantity Q: What fees are charged with XXX fund? Descriptive Description about a topic Q: How are Roth and traditional IRAs different? Yes /No Simple one response answers Q: Are Roth IRA contributions tax deductible? Procedural – How To How to question that returns list of steps Q: How do I plan for college education? Procedural – Troubleshooting Troubleshooting questions Q: Why did I have a fee charged on my brokerage? Definition Definition of industry terms Q: What is a 529 plan? Training on each type of question enables Watson to provide a high quality experience for each user
  46. 46. 46 © 2014 International Business Machines Corporation Using the QAAPI with Watson Integrate and Interact with Watson from Mobile or other Self Care Apps using a RESTful API Response, confidence evidence and other response metadata can be manipulated, enriched and used part of a conversation; or to a component in the system downstream for further processing Configure parameters, including Basic Auth using the user id and password for Watson Developer Cloud, POST question; Receive question, obtain response JSON Return JSON response and authentication token Receive response from Watson Send response to user or further processing
  47. 47. 47 © 2014 International Business Machines Corporation Integration with Watson – Sample JSON request / response REQUEST RESPONSEConfidence Evidence Answer #1
  48. 48. 48 © 2014 International Business Machines Corporation Access the Watson Developer Cloud using the Watson Experience Manager (WEM) With Watson Experience Manager: • Developers can use APIs to access Watson and test “Powered by Watson” apps • Data Scientists can manage their content used to enrich Watson • User experience developers can customize or create user interaction models with Watson • Domain experts can train and test their “Powered by Watson” apps WEM provides a role based set of tools for SME, Watson administrators, and Domain Experts
  49. 49. 49 © 2014 International Business Machines Corporation Administration Manage User Roles View Usage Reports Configuration Configure, Style, & Theme out of the box UI Define confidence threshold Watson Experience Manager – Configuration
  50. 50. 50 © 2014 International Business Machines Corporation Enrich Watson with content 1. Enrich Watson with relevant content to fuel the applications 2. Use Watson Experience Manager to upload, ingest, deploy content 3. Leverage the Watson Content Store to acquire public, subscribed or enterprise content Key points Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application
  51. 51. 51 © 2014 International Business Machines Corporation Proprietary Content Acquire Cleanse Curate Aggregate Contract Identify Public Domain & Social IBM Watson Validate Application Partners Source Prepare Ingest De ploy Select Content Build Apps w/API’s Leverage App Users Unstructured Data From Enterprise Apps CRM eComm Workforce HR Product Catalog Trouble Ticket Domain Specific Content Providers Email, Collaboration, Open Data ECM KMS End Users The content journey Publish Publish Watson Content Store
  52. 52. 52 © 2014 International Business Machines Corporation Content guidelines in detail IBM Watson requires a knowledge database (corpus) that contains information from which to formulate correct answers Content ingested into IBM Watson means that content is processed by the system such that correct segments of data can be quickly retrieved Content can come from a variety of sources and will have to be physically made available Content requires a level of cleansing and curation for Watson to be effective Proprietary Content Acquire Cleanse Curate Aggregate Contract Identify Public Domain & Social Validate Unstructured Data From Enterprise Apps CRM eComm Workforce HR Product Catalog Trouble Ticket Domain Specific Content Providers Email, Collaboration, Open Data ECM KMS
  53. 53. 53 © 2014 International Business Machines Corporation Content ingestion – Supported content Types of Unstructured Data that can be Ingested in Watson HTML Websites Domain Independent Content FAQ pages Forums Product Descriptions Product Catalog Export Product Reviews Social Network Extracts Microsoft Word Operational Runbook’s Policies & Procedures Contracts & Agreements Terms & Conditions PDF – Product Manuals – Financial Reports (sans graphs) – Analyst Research – User Guides – Troubleshooting Guide – Terms & Conditions – Setup & Configuration Guides – Magazines & Journals Text – Extracted Interaction Logs from CRM, Trouble Ticket, Care, Media Asset Management applications
  54. 54. 54 © 2014 International Business Machines Corporation Understand graphics (images, videos, sound …) Ingest directly from a structured data source (Database, Datawarehouse) There are architectural patterns and capabilities in Watson to be able to integrate with structured data sources Nested tabular data Call data records, sensor logs, meter data, etc. What Watson cannot ingest yet ….
  55. 55. 55 © 2014 International Business Machines Corporation What Works? Documents that are relevant to the use case under consideration Understanding the validity of documents & frequency of changes Well formed semantics – titles, sections, headings, sub-headings What Does Not? Access to glossary, abbreviations would be helpful and preferred If HTML – removing headers, footers, sidebars improves responses Corpus contain answers to the intended questions Scanned Docs (OCR), Charts, Non-English, Password Protected, Noisy Chat Logs Nested Tables; Image right document with no descriptions; Log & Sensor Data Mismatch in the content ingested and the questions end users are asking General guidance on content selection
  56. 56. 56 © 2014 International Business Machines Corporation Content crawling & curation – Items to consider Content Acquisition Crawling Integration with ECM/KMS/DMS systems Open Services for Lifecycle Collaboration Content Curation Cleansing, Preparation, Aggregation & Enrichment Content Lifecycle Management Stale content Refreshing content Content Metadata, Licenses & Attribution
  57. 57. 57 © 2014 International Business Machines Corporation Content crawling & curation – Example content Based on this content one might be interested in understanding the following. Various domain (medical health in this case) terms or concepts such as diseases, symptoms (headache, sore throat etc.), associated health conditions (asthma, diabetes etc.), vaccinations etc. Concepts or terms expressed in different ways (flu Vs. influenza, running nose Vs. cold etc.) Timing in terms of when the disease is more prevalent during a given year. Statistics in terms of how many people were affected over the years. Locations and other geo references made in the document with respect to the concepts or terms. Co-references or relationships or associated side effects with other health conditions (Guillain–Barré Syndrome, chronic lung disease etc.), vaccination options etc.
  58. 58. 58 © 2014 International Business Machines Corporation Based on this content one might be interested in understanding the following. Various domain (telecom in this case) terms or concepts such as equipment types (gateway, router, receiver), problems (connection issues, no audio etc.), associated conditions (correct cabling, receiver configuration, etc.), abbreviations etc. Concepts or terms expressed in different ways (receiver Vs STB Vs DVR, router Vs gateway etc.) Timing in terms of when a particular problem is more prevalent post service install & activation Statistics in terms of how many people were affected over the years. Locations and other geo references made in the document with respect to the concepts or terms. Co-references or relationships or associated service problems with other conditions or issues (DVR Recording & Memory Capacity, Data Features & Connectivity etc.), upgrades, value added options etc. Content crawling & curation – Example content
  59. 59. 59 © 2014 International Business Machines Corporation Watson Experience Manager – Corpus management Content: Content Upload & Management – Not an ECM tool View Ingested Corpus Allows for on-demand corpus pre-processing & ingestion Number of Docs Ingested as Corpus View Ingested Document & CAS Tag Each Document Ingest into Corpus on- demand Upload & Delete Documents
  60. 60. 60 © 2014 International Business Machines Corporation Train Watson with tools and experts 1. Watson is a cognitive system that is trained by experts and users and learns over time 2. Watson Experience Manager allows domain experts to provide training data like question and answer pairs 3. Watson is trained iteratively – follows a cycle of collecting realistic training data, running training experiments, testing, error analysis. Key points Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application
  61. 61. 61 © 2014 International Business Machines Corporation Training: Allow SME’s to enter & manage “Question & Answer” pairs Review & Approve Q&A Pairs Forms the basis for training data to help train Watson Goal is to build a representative set that enables Watson to understand the domain's language characteristics Drive towards a goal Approve, Edit, Add Comments Sample Q&A Pair Instance Watson Experience Manager – Create Q&A pairs to help train Watson
  62. 62. 62 © 2014 International Business Machines Corporation Suite of tools for training and testing Watson Test, train, and improve the accuracy of the system SDK and a set of extensions points to develop tools to add to the platform Training Experiment, Error Analysis Key tools & capabilities – Watson common tooling platform
  63. 63. 63 © 2014 International Business Machines Corporation Test “Powered by Watson” apps (Functional and non-functional) 1. Watson Experience Manager offers ways to test the responses from Watson 2. Testing is an iterative process to improve responses; and test integration with Watson 3. In addition to functional tests, plan to perform stress tests based on user ramps, and other non functional tests. Key points Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application
  64. 64. 64 © 2014 International Business Machines Corporation Watson Experience Manager – Testing Testing Test system by asking questions Additional Considerations Confidence of the response Evidence - where the answer passage was provided
  65. 65. 65 © 2014 International Business Machines Corporation Deploy “Powered by Watson” applications 1. Roll out the application using the production topology 2. Set up support teams and processes for handling user queries 3. Establish a set of metrics to be collected, with tools to support the process. Key points Access Watson Developer Cloud using Watson Experience Manager Develop app “Powered by Watson” using APIs Enrich Watson with content Train Watson using tools and experts Test app functional and non-functional Deploy application
  66. 66. 66 © 2014 International Business Machines Corporation Deploying your “Powered by Watson” solution • Rollout iteratively •Create a rollout plan with the user base •Size the system based on peak and scaled usage, failover and availability requirements and response times •Establish SLAs and other metrics needed from the Watson Developer Cloud •Determine any additional security provision needed •Promote the powered by Watson application to the production zone in the Watson Developer Cloud
  67. 67. 67 © 2014 International Business Machines Corporation Summary - 3 key takeaways 1 2 3 Committed to partner success. New business unit, HQ in NY, brings together research, development, service and go-to- market and features Innovation Hub with incubator, client solutions center and design lab Consider the possible interaction patterns when designing your Watson app to create the optimal user experience (including factoids, descriptive, Yes/No, procedural, procedural troubleshooting and definitions). The Watson Experience Manager (WEM), provides a platform to upload content, train Watson with question and answer pairs, and test the system by asking questions. The process for building a Watson app involves an iterative process of integrating Watson capabilities using the QAAPI, uploading content, training Watson, and testing the application for the appropriate response.
  68. 68. Wrap up: Where Do I Go From Here?
  69. 69. 69 © 2014 International Business Machines Corporation Where do I go from here? Apply https://ibm.biz/watsonecosystemapply Share: https://ibm.biz/watsondeveloper Learn: https://ibm.biz/watsonecosystem-youtube

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