Build Advanced Applications with IBM Datacap Insight Edition V9.1.3 (F2630G)

Build Advanced Applications with IBM Datacap Insight Edition V9.1.3 (F2630G)

Overview

Duration : 2 Days

In this course, you will work with applications in Datacap Studio to implement cognitive capture by using the IBM Datacap Insight Edition system. You will build page layouts and extract information with text analytics using IBM SystemT and Watson Natural Language Understanding. You will learn how to create virtual page blocks and extract information from tables and label value pairs. You will configure page classification with IBM Content Classification, Watson Visual Recognition engine, and Watson Natural Language Classifier service.

Objectives

  • Build page layouts
  • Extract text analytics metadata
  • Extract information with SystemT text analytics
  • Extract data using Watson Natural Language Understanding
  • Refine the results from data extraction
  • Create a virtual page block
  • Configure data extraction from tables and label value pairs
  • Integrate IBM Content Classification with Datacap
  • Automate decisions with Datacap and Watson Visual Recognition
  • Classify Datacap documents with Watson Natural Language Classifier

Course Outline

1. Introduction to Datacap Insight Edition

  • Sign up for the IBM Cloud services

 

2. Build page layouts

 

3. Extract information with text analytics

  • Extract text analytics metadata
  • Extract information with text analytics

 

4. Watson Natural Language Understanding integration with Datacap

  • Extract data with Watson Natural Language Understanding

 

5. Refine the results from data extraction

  • Configure Datacap to remove duplicate results

 

6. Virtual page blocks and table extraction

  • Create a virtual page block
  • Configure data extraction from tables

 

7. Data extraction from label value pairs

  • Configure data extraction from label value pairs

 

8. Automate decisions with Datacap and Watson Visual Recognition

  • Build a Visual Recognition classifier
  • Use a custom classifier to classify the images

 

9. Integrate Watson Natural Language Classifier with Datacap

  • Create a Natural Language Classifier
  • Use a custom Natural Language Classifier to classify the documents

 

10. IBM Content Classification integration with Datacap

  • Create Knowledge Bases and Decision Plans
  • Configure full page classification
  • Use Natural Language Understanding entities for classification
  • Knowledge of IBM Datacap concepts and Datacap clients, or
  • IBM Datacap 9.0.1 - Introduction (F251G)
  • Working knowledge with Datacap Studio, or
  • IBM Datacap 9.0.1 - Datacap Studio (F255G)
  • Knowledge of Datacap Navigator configuration, or
  • IBM Datacap 9.0.1 - Datacap Navigator Configuration (F257G)
Course ID:
F2630G


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