|
|
|
| |
IBM Datacap 9.0.1: Datacap Studio - F255G (2 Days)
|
|
|
This course shows you how to create and configure a Datacap application using Learning Template and then to enhance it using Datacap Studio. You identify when to use a Learning Template rather than a Form Template for your application.
This course also introduces you to the Box integration for Datacap and Cognitive Capture. It uses the Content Classification module, Insight Edition, and the Alchemy API services to classify documents, identify and extract data from unstructured text documents.
|
| Delivery Type: |
Classroom (Hands-on labs) |
Course Type: |
Public or Private on-site |
| Pre-requisites: |
The following courses or equivalent knowledge are required:
- IBM Datacap 9.0.1: Introduction (F251)
- IBM Datacap 9.0.1: FastDoc Server Mode (F253)
- IBM Datacap 9.0.1: FastDoc Multi-Page Document (F254)
|
| Course Topics: |
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
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
|
|
|
