Austin Innovation Day Slides: April 23, 2014
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Austin Innovation Day Slides: April 23, 2014

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Slides from the IBM Watson Ecosystem Innovation day held in Austin, TX on April 23, 2014.

Slides from the IBM Watson Ecosystem Innovation day held in Austin, TX on April 23, 2014.

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Austin Innovation Day Slides: April 23, 2014 Austin Innovation Day Slides: April 23, 2014 Presentation Transcript

  • Welcome to Watson Innovation Day
  • © 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
  • © 2014 International Business Machines Corporation 4 “IBM is helping partners make markets by transforming industries and professions with data.” IBM’s leadership in cognitive computing is deeply rooted in its investments in Big Data and analytics.
  • © 2014 International Business Machines Corporation 4 “IBM is helping partners redefine enterprise IT for the era of cloud computing and the next generation of solutions.” IBM’s commitment to cloud and the new digital frontier opens up a world of possibilities for Watson.
  • © 2014 International Business Machines Corporation 4 Time Agenda 8:30am – 9:30am What is cognitive computing: IBM Watson and a new era of computing 9:30am – 10:15am The Watson Ecosystem: How IBM partners are transforming industries 10:15am – 10:30am Break 10:30am – 11:00pm Our journey with Watson: A partner perspective 11:00am – 11:45am Getting started with Watson: Watson Developer Cloud 11:45am – 12:00pm Wrap up: Where do I go from here? 12:00pm – 1:00pm Networking lunch 1:00pm – 3:00pm 1:1 consults & hands-on “Work with Watson” sessions Agenda
  • What is Cognitive Computing?
  • © 2014 International Business Machines Corporation 4 On February 14, 2011 made history
  • © 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
  • © 2014 International Business Machines Corporation 4 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 – Feb 8th First 2 healthcare products were announced with MSK and WellPoint 2014 Watson Ecosystem – Nov. 14th Watson Ecosystem announced Driving innovation and fostering new possibilities Watson Healthcare Update – Oct. 18th MD Anderson launches Expert Oncology Advisor powered by Watson Watson used to bridge clinical practice and medical research
  • © 2014 International Business Machines Corporation 4 2014 – A look forward •IBM Watson Group •2000+ professionals •$1B+ invested over next few years •New Watson HQ – NY (Silicon Alley) •New Watson Offerings •New Partner APIs •New Tooling & SDKs •$100M Direct Investment Fund 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.
  • © 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
  • © 2014 International Business Machines Corporation 4 Converging trends impacting our world
  • © 2014 International Business Machines Corporation 4 1900 Watson is ushering in a new era of computing 1950 2011 Tabulating Systems Programmable Systems Cognitive Systems
  • © 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
  • © 2014 International Business Machines Corporation 4 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 Watson makes sense of natural language, like:  Noses that run and feet that smell?  How can a house can burn up as it burns down?  Why does an alarm go off by going on?  How can a slim chance and a fat chance be the same, while a wise man and a wise guy are opposites?
  • Answering complex questions requires more than keyword evidence This evidence suggests “Gary” is the answer BUT the system must learn that keyword matching may be weak relative to other types of 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 arrived in arrival in Legend Keyword “Hit” Reference Text Answer Weak evidenceRed Text Question: Supporting Evidence:
  • Watson’s deep semantical Q&A capability can unlock new potential and possibilities 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:
  • © 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.
  • What is the Watson Ecosystem?
  • © 2014 International Business Machines Corporation 4 Watson Ecosystem: A cognitive marketplace Watson Developer Cloud delivers the tools, methodologies, software 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:
  • © 2014 International Business Machines Corporation 4 Watson Ecosystem Program launch created over 1B impressions Want to Work with IBM's Watson? IBM's Watson Woos Developers Have at it, programmers: IBM makes Watson available via API IBM Opens Up Its Watson Cognitive Computer for Developers IBM Offers Watson as Cloud Application Tool IBM to Open Up Jeopardy Winner Watson's 'Brain' for Everyone Seismic shift underway in computing thanks to IBM Watson Cognitive Computing For All: IBM Releases a Legion of Watsons IBM to Open Up Watson to Third- Party Developers Soon Everyone Will Be Able To Use Watson IBM's Watson Artificial Intelligence to Get New Homes IBM to Announce More Powerful Watson via the Internet IBM's Watson Plays a New Role as an Application Development Platform IBM to Launch Watson Cloud-Based Development Platform IBM Adds Rent-An- Artificial-Intelligence Powers to Watson
  • © 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
  • © 2014 International Business Machines Corporation 4 Content Use case MarketCommitment Clients • Ownership / Access to content • Form - unstructured • Format – ingestible • Use case alignment • Leverages cognitive capabilities • Market potential • Market impact (disruptive) • Exec sponsorship • Road map priority • Resources • Skill development • Anchor client potential • Installed base Recipe for rapid success
  • What is the cost to be part of the IBM Watson Ecosystem?
  • © 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
  • © 2014 International Business Machines Corporation 4 With Watson’s Talent Hub, help is just a click away
  • A community for ongoing dialogue, collaboration & interaction  Private Watson Ecosystem Community  Invitation only events  Watson “Tech Talks” web conferences  Single community with tools, tips, tricks, ideas and conversation  Meet-ups and hangouts with cognitive business & tech leaders  Content, Interaction, and events  Developer Q&A Forum: DeveloperWorks  Active forums and blogs  https://www.ibmdw.net/watson/  Growing social dialogue  Twitter: @IBMWatson  LinkedIn: Watson Advocates Group  Facebook: facebook.com/ibmwatson
  • Working with Watson An Overview of the Watson Development Process
  • © 2014 International Business Machines Corporation 4 What do I get as an IBM Watson Ecosystem Application Partner?  Use of the Watson Developer Cloud:  Watson Experience Manger to enrich content, train, and test your Watson application  API to access the QA service to Watson  Customizable user interface to embed into your app  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
  • © 2014 International Business Machines Corporation 4 Planning your Watson application roadmap Go-to-Market Plan and Execute  Evaluate the business and technical viability as a Watson cognitive application  Submit Ecosystem application  Receive acceptance  Access the Watson Developer Cloud through tools and API  Build the prototype solution  Validate with target market  Design and build a commercial application with Watson as a key solution component  Enrich, train and test application iteratively  Final testing before product release  Deploy the “Powered by Watson” app  Expand usage in future releases Engage Prototype Build Deploy
  • © 2014 International Business Machines Corporation 4 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
  • © 2014 International Business Machines Corporation 4 Design & develop: Example solution pattern used with Watson App Component Other App Component(s) 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 • Design a solution with Watson as a key component • Model the interaction patterns with Watson • Create user experience mockups for the solution
  • © 2014 International Business Machines Corporation 4 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)
  • © 2014 International Business Machines Corporation 4 Watson works with different types of interactions Training on each type of question enables Watson to provide a high quality experience for each user 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?
  • © 2014 International Business Machines Corporation 4 Using the QAAPI with Watson Application Component 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  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
  • © 2014 International Business Machines Corporation 4 Access the Watson Developer Cloud using the Watson Experience Manager (WEM) With Watson Experience Manager: • Developers use APIs to access 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
  • © 2014 International Business Machines Corporation 4 Acquire Cleanse Curate Aggregate Contract Identify IBM Watson Validate Application Partners Source Prepare Ingest Deploy Select Content Build Apps w/API’s Leverage App Users CRM eComm Workforce HR Product Catalog Trouble Ticket Domain Specific Content Providers Email, Collaboration, Open Data ECM KMS End Users Enrich Watson: The Content Journey Publish Publish Watson Content Store Proprietary Content Unstructured Data From Enterprise Apps Public Domain & Social
  • © 2014 International Business Machines Corporation 4 Content guidelines  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 Acquire Cleanse Curate Aggregate Contract Identify Validate CRM eComm Workforce HR Product Catalog Trouble Ticket Domain Specific Content Providers Email, Collaboration, Open Data ECM KMS Proprietary Content Unstructured Data From Enterprise Apps Public Domain & Social
  • © 2014 International Business Machines Corporation 4 Content ingestion – Supported content Types of unstructured data that can be ingested in Watson  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  HTML – Websites – Domain independent content – FAQ pages – Forums – Product descriptions – Product catalog export – Product reviews – Social network extracts  Microsoft Word – Operational runbooks – Policies and procedures – Contracts and agreements – Terms and conditions
  • © 2014 International Business Machines Corporation 4  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 ….
  • © 2014 International Business Machines Corporation 4  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 Content crawling & curation – Items to consider
  • Summary - 3 Key Takeaways © 2014 International Business Machines Corporation 4 1 2 3 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.
  • Taking the Next Step with Watson
  • © 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…
  • © 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
  • © 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