Getting
Started with Rules/User Interface in Intelligent Advisor (IA)
·
Describe a Policy Modeling Project and main Intelligent Advisor
components
·
Describe options for running and testing a policy model
Attributes
and Attribute Text
·
Define variable attributes and use them in logical comparisons
·
Demonstrate the appropriate use of value lists in attributes
·
Construct Boolean and non-Boolean attributes from difficult source
material
·
Define appropriate attribute phrasing and understand reparsing scenarios
Writing
Rules and negations
·
Identify the various components of a rule and verify how rules link
together
·
Identify the appropriate styles to use when writing rules
·
Validate and check rules
·
Explain how to avoid using multiple conclusions
Conclusions
and Conditions
·
Identify conclusions and conditions in source material
·
Use tables for Rules using Word and Excel understanding which to use
·
Analyze networks of rules, including attribute levels
Grouping
Operators and Intermediate Attributes
·
Explain the correct uses of AND and OR in the same rule, using a
grouping operator
·
Write more complex rules in Microsoft Word using grouping words or
phrases
Comparisons
and calculations in rules
·
Compare one attribute to another attribute as a condition of a rule
·
Use functions in the rule conclusion
·
Use complex expressions to perform calculations in a rule
Entities and Relationships
·
Explain entities, entity-level attributes and entity relationships
When to use
Entities and Reasoning with Entities
·
Model entity rules from source material
·
Identify reasoning from one entity to another
·
Create rules that use relationships/infer entities
·
Use built-in entity functions in rules
Testing
Rules
·
Create and save basic test cases
·
Test entities/relationships and interviews in the debugger
Creating Interviews
·
Create a basic interview
·
Control the interactions on and between screens
·
Create interview screens that collect entity instances and entity-level
data
Enhancing
Interviews
·
Explain the purpose and use of goals and checkpoints in an interview
·
Use controls for creating Interview screens including conditional logic
·
Describe how Policy models can be used in other languages (limitations,
coverage, etc.)
·
Data Validation
·
Prevent or warn a user from entering invalid data or combinations of
data based on inferred logic
Explanations,
Audit Reports and Forms
·
Differentiate explanations and audit reports, and where they should be
used
·
Intelligent Advisor Hub Deployments, Users, and Security
·
Administer users, deployments and projects on the Intelligent Advisor Hub
·
Deploy and update projects on the Hub from the Policy Modeler
·
Data Mapping, Integration, Connector Framework and mobile
·
Set up data mappings for a B2C Service interview (input/output)
·
Automate decisions with a web service
·
Explain the features of Intelligent Advisor mobile applications and
related APIs
·
Embedding an Interview in Customer Portal, Agent Desktop and Chat
·
Embed an interview in Customer Portal, Agent Desktop and BUI, and Chat
·
Collaboration
·
Understand collaboration features and viewing/rollback of changes on
team projects