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Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started

Book Description

Abstract

The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® Watson™ cognitive computing services. The series includes an overview of specific IBM Watson® services with their associated architectures and simple code examples. Each volume describes how you can use and implement these services in your applications through practical use cases.

The series includes the following volumes:


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    Volume 1 Getting Started

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    Volume 2 Conversation

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    Volume 3 Visual Recognition

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    Volume 4 Natural Language Classifier

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    Volume 5 Language Translator

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    Volume 6 Speech to Text and Text to Speech

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    Volume 7 Natural Language Understanding


  • Whether you are a beginner or an experienced developer, this collection provides the information you need to start your research on Watson services. If your goal is to become more familiar with Watson in relation to your current environment, or if you are evaluating cognitive computing, this collection can serve as a powerful learning tool.

    This IBM Redbooks® publication, Volume 1, introduces cognitive computing, its motivating factors, history, and basic concepts. This volume describes the industry landscape for cognitive computing and introduces Watson, the cognitive computing offering from IBM. It also describes the nature of the question-answering (QA) challenge that is represented by the Jeopardy! quiz game and it provides a high-level overview of the QA system architecture (DeepQA), developed for Watson to play the game. This volume charts the evolution of the Watson Developer Cloud, from the initial DeepQA implementation. This book also introduces the concept of domain adaptation and the processes that must be followed to adapt the various Watson services to specific domains.

    Table of Contents

    1. Front cover
    2. Notices
      1. Trademarks
    3. Preface
      1. Authors
      2. Now you can become a published author, too!
      3. Comments welcome
      4. Stay connected to IBM Redbooks
    4. Chapter 1. Introduction to cognitive computing
      1. 1.1 Brief history of cognitive computing
        1. 1.1.1 The eras of computing
        2. 1.1.2 The future of computing is cognitive
        3. 1.1.3 Impact of cognitive computing to our lives
      2. 1.2 Basic concepts
      3. 1.3 Characteristics of cognitive systems
        1. 1.3.1 Solving real life problems with cognitive systems
      4. 1.4 References
    5. Chapter 2. Cognitive business and IBM Watson
      1. 2.1 Landscape of cognitive computing in the industry
        1. 2.1.1 Consumer market: Cognitive computing offerings
        2. 2.1.2 Enterprise market: Cognitive computing offerings
        3. 2.1.3 Delivering cognitive services: Cloud and open source projects
        4. 2.1.4 Cognitive computing and the future of jobs
      2. 2.2 Introducing IBM Watson
        1. 2.2.1 Watson APIs: Build with Watson
        2. 2.2.2 IBM Watson applied to industries, businesses, and science
        3. 2.2.3 Watson use cases
        4. 2.2.4 Watson demonstrations
      3. 2.3 References
    6. Chapter 3. Introduction to question-answering systems
      1. 3.1 The Jeopardy! challenge
      2. 3.2 DeepQA system architecture
      3. 3.3 Exploring the DeepQA pipeline through an example
        1. 3.3.1 Question analysis
        2. 3.3.2 Primary search
        3. 3.3.3 Hypothesis generation
        4. 3.3.4 Hypothesis and evidence scoring
        5. 3.3.5 Final merging and ranking
      4. 3.4 References
    7. Chapter 4. Evolution from DeepQA to Watson Developer Cloud
      1. 4.1 Why commercialize Watson
      2. 4.2 Refresher of DeepQA architecture
      3. 4.3 Evolution to Watson Developer Cloud
        1. 4.3.1 Evolution of question analysis
        2. 4.3.2 Microservices and robust tooling evolved from DeepQA
      4. 4.4 Watson Conversation service
      5. 4.5 Watson Discovery service
      6. 4.6 Evolution summary
      7. 4.7 References
    8. Chapter 5. Domain adaptation
      1. 5.1 Introduction to domain adaptation
      2. 5.2 IBM Watson Developer Cloud and domain adaptation
        1. 5.2.1 Watson Conversation
        2. 5.2.2 Watson Language Translator
        3. 5.2.3 Watson Natural Language Classifier
        4. 5.2.4 Watson Retrieve and Rank
        5. 5.2.5 Watson Visual Recognition
        6. 5.2.6 Watson Speech to Text
        7. 5.2.7 Watson Text to Speech
        8. 5.2.8 Watson Natural Language Understanding
        9. 5.2.9 Watson Discovery
      3. 5.3 Watson Knowledge Studio
        1. 5.3.1 Watson Knowledge Studio domain adaptation overview
        2. 5.3.2 Example: Creating a machine learning model
        3. 5.3.3 Deploying a machine-learning annotator to Watson Natural LanguageUnderstanding
        4. 5.3.4 Deploying a machine-learning annotator to Watson Discovery
    9. Related publications
      1. IBM Redbooks
      2. Online resources
      3. Help from IBM
    10. Back cover