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

Durée: 

2

Langue: 

DE

Prix: 
1817
Description: 

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.

  • 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

This course is for Solution Builders and users who are responsible for configuring Datacap applications.

  • 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)

Introduction to Datacap Insight Edition
• Sign up for the IBM Cloud services

Build page layouts

Extract information with text analytics
• Extract text analytics metadata
•  Extract information with text analytics

Watson Natural Language Understanding integration with Datacap
• Extract data with Watson Natural Language Understanding

Refine the results from data extraction
• Configure Datacap to remove duplicate results

Virtual page blocks and table extraction
• Create a virtual page block
• Configure data extraction from tables

Data extraction from label value pairs
• Configure data extraction from label value pairs

Automate decisions with Datacap and Watson Visual Recognition
• Build a Visual Recognition classifier
• Use a custom classifier to classify the images

Integrate Watson Natural Language Classifier with Datacap
• Create a Natural Language Classifier
• Use a custom Natural Language Classifier to classify the documents

IBM Content Classification integration with Datacap
• Create Knowledge Bases and Decision Plans
• Configure full page classification
• Use Natural Language Understanding entities for classification

 

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