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

Duration: 
2 days
Codes: 
F2630G
Versions: 
V9.1.3

Overview

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.

Audience

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

Skills Gained

  • 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

Prerequisites

  • 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)

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.