IBM Datacap 9.0.1: Datacap Studio (F255G) – Outline

Detailed Course Outline

  • Introduction to Datacap Studio
    • Rulemanager View
      • Document Hierarchy
      • Rulesets ( Global and Application)
      • Rulset Types (Compiled and Conventional)
      • Rule mapping, Properties, Task profiles, Action libraries
    • Zones view
    • Test view
  • Create an application based on Learning Template
    • Characteristics of a Learning Template Application and docType
    • Learning Template Configuration
    • Document Integrity
    • Learning Template Fields
    • Configure a Learning Template application
    • The Learning Template and fingerprints
    • The Learning Template workflow
    • Routing and export
  • Enhance the application in Datacap Studio
    • Application enhancement with Datacap Studio
    • Associate rules with a document hierarchy object
    • Associate a ruleset with a task profile
    • Validate Rules and actions
  • Create Locate and Zone rules
    • Locate actions
  • Create Validate rules
    • Validation actions
    • Validate and export task relationship
    • Mixing locate and validate actions
  • Expand the Locate and Validation rules
  • Document export to corporate data repository
    • Export types
    • Export to IBM FileNet Content Manager Repository
    • Actions to export to IBM FileNet repository
  • Application Debugging and Logs
    • Application Debugging in Datacap Studio
    • Logs Used in Debugging
    • Setting Rulerunner Logging by Application/Task
    • Datacap Studio Test Tab
    • Set Breakpoints
    • Breakpoint Configuration Interfaces
  • Connect to a Box repository
    • Box Connector Introduction
    • Box installation and configuration
    • Create a Box account and a Box application
    • Configure Box repository account
  • Configure Datacap Box connection
    • Configuration Box connection parameters
    • Configure a Datacap application for Box import and export
    • Configure the Virtual scan task
    • Batch processing behavior
    • Administration configurations
    • Box rulesets and action libraries
  • Introduction to Cognitive Capture
    • Terms used, Cognitive Capture, Insight Edition, Content Classification, Big Insights and System T. Alchemy API
    • Capture is entering a new cognitive era
    • Where does Cognitive Capture fit?
    • Alchemy API key application
  • Content Classification
    • Cognitive Capture Sequence
    • Analyze data elements
    • Content Categorization
    • Populate fields
    • Cognitive Capture techniques
    • Layout XML file
    • Cognitive Capture actions
    • Verify and the docFilterManager.xml file
    • IBM Content Classification
    • Content Classification Actions
    • Configuring a decision plan
    • Sample Content Classification actions
    • Sample find category function
  • Insight Edition
    • Insight Edition is built on a Datacap foundation
    • What is Insight Edition and how is it implemented?
    • What is Big Insights and System T?
    • Text Analytics identifies entities
    • What is in the Blocks?
    • It understands language semantic, patterns.
    • Correspondence Cognitive Template
    • Index-Value par matching
    • What are annotators?
    • Field annotators
    • Actions for annotators
    • Layout Based Classification
  • Visual Studio
    • Convers Custom Control Panels