IBM Datacap 9.0.1: Application Builder

1. FastDoc Capabilities Overview

2. FastDoc local mode

• Configure local batch profiles and parameters
• Create a local capture batch
• Process local batches
• Scan, process, and verify a batch, Correct error, and Export the batch

3. Introduction to FastDoc Datacap Server mode

• FastDoc server mode interface
• Documents, pages, and fields view
• Ruleset properties view
• Workflow view and fingerprints
• Run batches in FastDoc server mode
• Data validation methods
• Export options

4. Configure batch structure

• Application Templates and Template folder structure
• Create an application and Configure documents, pages, and fields

5. Configure form template rulesets

• Configure rulesets
• Batch level ruleset Import images, Convert files to images, Image enhancement
• Recognize pages and fields

6. Define fingerprints and test rulesets

• Define Fingerprint and select zones
• Design time testing
• Test pane, Profiles and rules, history and results, error resolution.

7. Populate fields with keyword lookup

8. Configure validate fields ruleset

9. Export to IBM FileNet Content Manager

10. Configure a multi-page document in a Form Template application

• Page Separator pages

11. Data recognition

• Bar codes (for Page Separation only)
• OCR (optical character recognition)
• Recognize hand written text fields ICR (intelligent character recognition)
• OMR (optical mark recognition)

12. Validate with database lookup

13. Datacap Studio interface

• Rulemanager View
• Zones view
• Test view

14. Create an application based on Learning Template

15. Configure a Learning Template application

16. Enhance the Application in Datacap Studio

• Associate rules with a document hierarchy object
• Associate a ruleset with a task profile
• Validate Rules and actions

17. Create  and expand the Locate and Validation rules

18. Document export to corporate data repository

19. Application Debugging in Datacap Studio

• Logs Used in Debugging
• Datacap Studio Test Tab

20. Visual Studio

• Convers Custom Control Panels

21. Connect to a Box repository

22. Configure Datacap Box connection

• Configuration Box connection parameters
• Configure a Datacap application for Box import and export
• Box rulesets and action libraries

23. Introduction to Cognitive Capture

• Terms you will encounter, Cognitive Capture, Insight Edition, Content Classification, Big Insights and System T. Alchemy API,
• Alchemy API key application

24. Content Classification

• Content Categorization
• Cognitive Capture techniques
• Cognitive Capture actions
• IBM Content Classification

25. Insight Edition on a Datacap foundation

• What is Insight Edition and how is it implemented?
• What is Big Insights and System T?
• What is in the Block?
• What are annotators?
• Layout Based Classification

1. FastDoc Capabilities Overview

2. FastDoc local mode

• Configure local batch profiles and parameters
• Create a local capture batch
• Process local batches
• Scan, process, and verify a batch, Correct error, and Export the batch

3. Introduction to FastDoc Datacap Server mode

• FastDoc server mode interface
• Documents, pages, and fields view
• Ruleset properties view
• Workflow view and fingerprints
• Run batches in FastDoc server mode
• Data validation methods
• Export options

4. Configure batch structure

• Application Templates and Template folder structure
• Create an application and Configure documents, pages, and fields

5. Configure form template rulesets

• Configure rulesets
• Batch level ruleset Import images, Convert files to images, Image enhancement
• Recognize pages and fields

6. Define fingerprints and test rulesets

• Define Fingerprint and select zones
• Design time testing
• Test pane, Profiles and rules, history and results, error resolution.

7. Populate fields with keyword lookup

8. Configure validate fields ruleset

9. Export to IBM FileNet Content Manager

10. Configure a multi-page document in a Form Template application

• Page Separator pages

11. Data recognition

• Bar codes (for Page Separation only)
• OCR (optical character recognition)
• Recognize hand written text fields ICR (intelligent character recognition)
• OMR (optical mark recognition)

12. Validate with database lookup

13. Datacap Studio interface

• Rulemanager View
• Zones view
• Test view

14. Create an application based on Learning Template

15. Configure a Learning Template application

16. Enhance the Application in Datacap Studio

• Associate rules with a document hierarchy object
• Associate a ruleset with a task profile
• Validate Rules and actions

17. Create  and expand the Locate and Validation rules

18. Document export to corporate data repository

19. Application Debugging in Datacap Studio

• Logs Used in Debugging
• Datacap Studio Test Tab

20. Visual Studio

• Convers Custom Control Panels

21. Connect to a Box repository

22. Configure Datacap Box connection

• Configuration Box connection parameters
• Configure a Datacap application for Box import and export
• Box rulesets and action libraries

23. Introduction to Cognitive Capture

• Terms you will encounter, Cognitive Capture, Insight Edition, Content Classification, Big Insights and System T. Alchemy API,
• Alchemy API key application

24. Content Classification

• Content Categorization
• Cognitive Capture techniques
• Cognitive Capture actions
• IBM Content Classification

25. Insight Edition on a Datacap foundation

• What is Insight Edition and how is it implemented?
• What is Big Insights and System T?
• What is in the Block?
• What are annotators?
• Layout Based Classification