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