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IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
IBM Watson Innovation Day Boston
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IBM Watson Innovation Day Boston

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Presentations from the IBM Watson Innovation Day held on May 8, 2014 at the IBM Innovation Center in Cambridge, MA.

Presentations from the IBM Watson Innovation Day held on May 8, 2014 at the IBM Innovation Center in Cambridge, MA.

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  • Assembly line image
  • Assembly line image
  • Main Point: IBM has led the industry into a new era of computing: cognitive systems. And building on early success IBM has stepped up its commitment to advancing this new era with major new investments and announcements in support of this area. In summary….. <go through announcements…. Tell ‘em what you’re going to tell ‘em>
  • Transcript

    • 1. Welcome to Watson Innovation Day
    • 2. © 2014 International Business Machines Corporation 4 Watson is one of IBM’ greatest innovations in its 100 year history, and now its only a click away. Goals for today’s session: •Ignite your imagination for how Watson can be put to work in your business changing the competitive landscape and redefining the art of the possible •Help establish a proven and actionable business approach for you to bring Watson to market •Demonstrate the process to build a Watson application and the tools and resources available to help you succeed. •Describe IBM’s investment to help ensure your success in putting Watson to work, from design and development through go-to-market
    • 3. © 2014 International Business Machines Corporation 4 Time Agenda 9:00am – 9:30am The New Era of Computing: IBM Watson and the Watson Ecosystem 9:30am – 10:30am Behind the Scenes. The Process of Building a “Powered by Watson” Application 10:30am – 10:45am Break 10:45am – 11:15pm How Watson is Changing the Game In Retail: Reflexis 11:15am – 11:45am How Watson is Transforming Healthcare: Modernizing Medicine 11:45am – 12:00pm Wrap Up: Where Do I Go From Here? 12:00pm – 1:00pm Networking Lunch 1:00pm – 3:00pm “Work With Watson” Time Agenda
    • 4. What is Cognitive Computing?
    • 5. © 2014 International Business Machines Corporation 4 On February 14, 2011 made history
    • 6. © 2014 International Business Machines Corporation 4 Bringing Watson technology to market Size Speed Corpus Flexibility #Users Size Speed Corpus Flexibility #Users Size Speed Corpus Flexibility #Users 2880 CPUs Single User 5+ days to retrain Knew Wikipedia 1 Machine 1000s of users <1 day to retrain Learned Medicine Cloud Delivery Millions of Users Retraining in hours Broad Industry Knowledge Jeopardy Cognitive Products Cognitive Ecosystem
    • 7. © 2014 International Business Machines Corporation 4 1900 Watson is ushering in a new era of computing 1950 2011 Tabulating Systems Programmable Systems Cognitive Systems
    • 8. © 2014 International Business Machines Corporation 4 Understands natural language and human style communication Adapts and learns from training, interaction, and outcomes Generates and evaluates evidence- based hypothesis 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. 1 2 3 Cognitive computing is changing the game
    • 9. © 2014 International Business Machines Corporation 4 IBM direct investments ($100M fund) 1. Acceleration of Watson Ecosystem 2. Foster strategic alignment of brand objectives 3. Provide reference customer for new and emerging market segments 4. Access top talent and industry 5. Seed market or market segment entry 6. Future acquisition potential 7. Leverage broader IBM portfolio 8. Provide financial return Objective: Investment Orientation Business Alignment Industry Focus: Healthcare, Retail, Travel, X-Industry, etc. Market: B2B, B2B2C Stage: Series A – C (typically) Participation: Minority, venture led T&C: Established by lead investors, no board seat Investment orientation Business alignment Industry focus: Healthcare, Retail, Travel , X-Industry, etc. Market: B2B, B2B2C Stage: Series A – C (typically) Participation: Minority, venture led T&C: Established by lead investors, no board seat
    • 10. © 2014 International Business Machines Corporation 4 Bringing Watson to market Transforming industries and professions. Advancing cognitive computing across the enterprise. Delivering the cognitive experience to the masses.
    • 11. What is the Watson Ecosystem?
    • 12. © 2014 International Business Machines Corporation 4 Watson Ecosystem: A cognitive marketplace Watson Developer Cloud delivers the tools, methodologies, softwa re developer kits and API(s) for ISVs to build the next generation of cognitive applications. Watson Content Store brings together sources of free and fee data, including general knowledge, industry-specific content, and subject matter expertise. Watson Talent Hub helps bridge ISVs’ resource gaps by providing a marketplace for critical cognitive, big data, UI, and mobility skills. The IBM Watson Ecosystem brings the cognitive capabilities of Watson to the cloud, allowing third parties to harness Watson’s cognitive capabilities. The ecosystem is comprised of three key components:
    • 13. © 2014 International Business Machines Corporation 4 Three ways Watson Ecosystem Program benefits partners Watson cognitive capabilities can be a game changer by differentiating your offering in the marketplace. The Program represents a unique opportunity to meet market demands and demonstrate leadership, innovation, and agility. Watson cognitive capabilities can drive incremental revenue by attracting new users or growing current users. 1 2 3
    • 14. © 2014 International Business Machines Corporation 4 The Watson Content Store offers fuel for apps A clearing house of unique and varying sources of data – general knowledge, industry specific content, and subject matter expertise – from a variety of sources. 51© 2014 International Business Machines Corporation Content Providers •New distribution channel •New customers & consumption model (license, subscription, transaction) •Incremental revenue Benefits ISVs •Fuel your application with the content needed for success •Easily access multiple content sources •Test and validate content value
    • 15. IBM Watson Content Store: Healthcare illustration Clients MedInsights Procedures MMG Best Practices Healthcare Platform Watson Healthcare Cloud MidWest Medical Group Excel Physicians Practice MedInsights powered by IBM Watson Watson Platform Medical Journals Domain Content Partner App Client & Partner Content General Content Watson Content Store
    • 16. © 2014 International Business Machines Corporation 4 With Watson’s Talent Hub, help is just a click away
    • 17. Working with Watson The Process of Building a “Powered by Watson” Application
    • 18. 18 © 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
    • 19. 19 © 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
    • 20. 20 © 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
    • 21. 21 © 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
    • 22. 22 © 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)
    • 23. 23 © 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
    • 24. 24 © 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
    • 25. 25 © 2014 International Business Machines Corporation Integration with Watson – Sample JSON request / response REQUEST RESPONSEConfidence Evidence Answer #1
    • 26. Code to integrate the Watson QAAPI
    • 27. 27 © 2014 International Business Machines Corporation Code to get the answers from the Watson QAAPI
    • 28. 28 © 2014 International Business Machines Corporation Code to render the Watson QAAPI
    • 29. 29 © 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
    • 30. 30 © 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
    • 31. 31 © 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
    • 32. 32 © 2014 International Business Machines Corporation Proprietary Content Acquire Cleanse Curate Aggregate Contract Identify Public Domain & Social IBM Watson Validate Application Partners Source Prepare Inges t Deploy 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
    • 33. 33 © 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
    • 34. 34 © 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
    • 35. 35 © 2014 International Business Machines Corporation HTML – Veterinary Critical Care Manual Example Before content requires more training
    • 36. 36 © 2014 International Business Machines Corporation HTML – Veterinary Critical Care Manual Example Guidelines  Each disease/condition has its own document  Document is broken down in the following manner: After Good content!
    • 37. 37 © 2014 International Business Machines Corporation HTML – Medicare website Avoid  Sites that use images instead of texts  Text information inside of an image Content not directly usable
    • 38. 38 © 2014 International Business Machines Corporation HTML – Product Catalog Example Guidelines  Consider one HTML per product  Consider the structure of the HTML to be as follows: Good Content!
    • 39. 39 © 2014 International Business Machines Corporation PDF – Federal Benefits ebook Example Guidelines  Simple structure  Straightforward format  Plain text  Consistent formatting Good Content!
    • 40. 40 © 2014 International Business Machines Corporation PDF – Market Analysis Example Minimize  Charts  Complex Tables  Graphs  Multi column layout with incorrect text ordering Content not directly usable
    • 41. 41 © 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 ….
    • 42. 42 © 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
    • 43. 43 © 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
    • 44. 44 © 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.
    • 45. 45 © 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
    • 46. 46 © 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
    • 47. 47 © 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
    • 48. 48 © 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
    • 49. 49 © 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
    • 50. 50 © 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
    • 51. 51 © 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
    • 52. 52 © 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
    • 53. 53 © 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
    • 54. 54 © 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.
    • 55. Let’s Take a Break… Coming Next… Our Journey With Watson
    • 56. Taking the Next Step with Watson
    • 57. © 2014 International Business Machines Corporation 4 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…
    • 58. © 2014 International Business Machines Corporation 4 Phase 1: Engage Join IBM Partner World at http://ibm.com/PartnerWorld Analyze use case for Watson business and technical synergy Submit Watson Ecosystem application and receive acceptance https://ibm.biz/watsonecosystemapply Obtain access to the Watson Developer Cloud through the Watson Experience Manager 1 2 3 4
    • 59. © 2014 International Business Machines Corporation 4 Where can I go to learn more? Apply: https://ibm.biz/watsonecosystemapply Share: https://ibm.biz/watsondeveloper Learn: https://ibm.biz/watsonecosystem-youtube

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