SSZGQX - Documentation Index

Table of Contents

• Welcome
• Release notes
  • What's new
  • Guidelines for GDPR readiness
  • Known limitations
• Getting started
  • Introducing Decision Intelligence
    • Using the Decision Assistant
    • Using Decision Designer
  • Licenses and entitlements
  • Quick-start tutorials
    • Creating, deploying, and monitoring a decision service
      • Task 1: Creating a decision service
      • Task 2: Exposing and sharing your decision service
      • Task 3: Adding nodes
      • Task 4: Creating a data model
      • Task 5: Using the interaction policy
      • Task 6: Deploying and executing a decision
      • Task 7: Creating a dashboard to monitor your decision service
    • Best practices tutorials
      • Best practices for modeling decisions
        • Task 1: Making an individual decision
        • Task 2: Making decisions for a population of cases
        • Task 3: Making decisions for families of cases
        • Task 4: Making intermediate decisions
        • Task 5: Creating composite types
        • Task 6: Applying a decision logic to many values
        • Task 7: Applying decision models to multi-valued variables
        • Task 8: Adding a final decision node
      • Best practices for defining the decision logic
        • Task 1: Making decisions with single rules
        • Task 2: Ensuring completeness
        • Task 3: Understanding undefined decisions
        • Task 4: Selecting or aggregating values from multiple rules
        • Task 5: Implementing sequential rule-based decision modeling
    • Predictive modeling tutorials
      • Using machine learning to make better decisions
        • Task 1: Defining and deploying a machine learning model in Watson Machine Learning
        • Task 2: Defining a machine learning provider in Decision Designer
        • Task 3: Defining and using a predictive model
        • Task 4: Deploying and executing the decision service
      • Quick guide: Integrating Watson Machine Learning with decision services
        • Task 1: Creating an empty deployment space in Watson Studio
        • Task 2: Defining a machine learning provider in Decision Designer
        • Task 3: Uploading a PMML file and connecting a predictive model
        • Task 4: Running a predictive model and a decision model
      • Quick guide: Using the embedded machine learning provider
        • Task 1: Defining a machine learning provider in Decision Designer
        • Task 2: Uploading a PMML file and connecting a predictive model
        • Task 3: Running a predictive model and a decision model
      • Using machine learning to reduce customer churn
        • Task 1: Setting up the sample
        • Task 2: Reviewing the sample details
      • Importing a PMML file to create a transparent predictive model
        • Task 1: Importing a sample decision service and exploring resources
        • Task 2: Creating and configuring a predictive model
        • Task 3: Integrating the predictive model into a decision model
    • Using generative AI within decisions
      • Task 1: Importing and exploring a sample decision service
      • Task 2: Creating a generative AI model and integrating it into a decision model
    • Using a definition file to create a data model
      • Importing a data model definition file
• Administering
  • Managing subscriptions, instances, and users
  • Understanding roles and permissions
• Building and managing decision services with the Decision Assistant
  • Interacting with the Decision Assistant
  • Prompt examples
  • Using the Build mode
    • Generating decision services for Decision Intelligence
    • Generating decision services for IBM Operational Decision Manager
    • Interacting with the Decision Assistant in Build mode
• Building decision services in Decision Designer
  • Building decision services
    • Creating data models
      • Creating data types
        • Introduction to data types
        • Creating composite types
        • Creating enumeration types
          • Entering values manually
          • Extracting values from an external data source
            • Importing an Excel file
            • Mapping values to an enumeration type
            • Updating values
      • Creating business functions
        • Creating functions
        • Creating actions
      • Importing a data model definition file
        • Definition file annotations
        • Defining default values
      • Using data models in other decision artifacts
      • Default verbalization
        • Default verbalization in Brazilian Portuguese
        • Default verbalization in Chinese
        • Default verbalization in English
        • Default verbalization in French
        • Default verbalization in German
        • Default verbalization in Italian
        • Default verbalization in Japanese
        • Default verbalization in Spanish
    • Creating decision models
      • Designing a decision
      • Creating a decision diagram
        • Defining input
          • Creating an input data node
          • Defining a default value
        • Adding decisions
          • Creating a decision node
          • Adding the decision logic
            • Creating a business rule
            • Creating a decision table
            • Defining a default value
            • Choosing an interaction policy
        • Calling other models
    • Creating task models
      • Orchestrating rules
      • Creating task model artifacts
        • Creating a folder
        • Creating a business rule
        • Creating a decision table
        • Creating a variable set
        • Creating a ruleflow
          • Building a ruleflow
          • Defining the ruleflow structure
            • Adding task nodes
              • Adding a rule task node
              • Adding an action task node
              • Adding a function task node
              • Adding a subflow task node
            • Connecting nodes
          • Using a generative AI output in a ruleflow
          • Choosing an execution mode
          • Choosing a language
      • Creating functions
    • Creating predictive models
      • Managing local machine learning providers
      • Creating a predictive model
        • Configuring a predictive model
          • Invoking a machine learning model hosted remotely
          • Importing a transparent machine learning model
        • Mapping input data types
        • Editing the invocation rule
        • Mapping output data types
      • Updating a predictive model
      • Integrating a predictive model
    • Creating generative AI models
      • Creating prompts
    • Authoring the decision logic
      • Working with business rules
        • How business rules work
          • Rule variables
            • Types of rule variables
          • Rule conditions
            • Conditions that compare business terms and values
            • Conditions that test for existence
            • Conditions that test for set membership
            • Combinations of conditions
            • Combination negation
          • Rule actions
            • Rule actions for lists of business terms
            • Dependency of rule actions on rule variables
        • Using the rule editor
          • Creating rule parts with the completion menu
          • Using punctuation to avoid ambiguity
          • Setting completion menu options
          • Basic syntax checks
          • Using shortcuts
      • Working with decision tables
        • Columns
          • Using the column menu
          • Defining columns
          • Sorting and filtering columns
        • Rows
          • Using the row menu
          • Adding a partially completed row
          • Grouping and splitting rows
        • Cells
          • Using the cell menu
          • Specifying values
          • Changing the default operator for a cell
        • Preconditions
        • Using decision table locking facilities
        • Decision tables errors and warnings
        • Exporting and importing decision tables with Excel
      • Conducting completeness analysis
    • Reusing decision artifacts
      • Publishing decision artifacts
      • Managing dependencies
    • Comparing revisions of decision artifacts
    • Automatic refactoring
    • Finding references
  • Interacting with Decision Designer through an MCP server
    • Configuring IBM Bob to connect to the MCP server
    • Using the MCP server
  • Working collaboratively on decision services
    • Loading changes
    • Resolving conflicts
    • Sharing changes
    • Reverting changes
    • Restoring changes
  • Managing decisions
    • Managing access to decision automations
    • Importing and exporting decision services
    • Managing branches
      • Creating branches
      • Merging branches
      • Protecting branches
    • Editing group IDs
• Testing decision services
  • Running models with test data
  • Creating assertions
• Deploying decision services
  • Creating decision operations
  • Creating versions
  • Building and deploying from Decision Designer
  • Deployment spaces
  • Viewing and managing deployed decision services
    • Viewing deployed decision services
    • Managing deployed decision services
• Executing decision services
  • Decision service metadata
  • Executing decision services with decision runtime
    • Selecting decision services for execution
      • Executing the last deployed version
      • Executing the last semantic version
      • Executing a specific version
    • Calling decision services
    • Execution trace for decision runtime
    • Swagger UI for decision runtime API
  • Integrating decision services into AI applications
• Working with Decision Insights
  • Benefits of monitoring decision service performance
  • Monitoring decision services
    • Understanding monitored metrics and dimensions
      • Measurements
      • Aggregations
      • Group by
    • Connecting to decision service data
    • Filtering the dashboard list by monitoring source
  • Building dashboards
    • Creating and customizing dashboards
    • Selecting and filtering decision service data
    • Managing dashboard layouts and templates
      • Arranging and resizing dashboard components
      • Duplicating dashboards and components
      • Using dashboard templates
      • Customizing charts
        • Using a custom color palette in charts
        • Displaying values in charts
        • Displaying legends in charts
    • Time range and interval settings
    • Saving, exporting, and importing dashboards
  • Goals in Decision Insights
    • Creating goals
    • Associating charts with goals
    • Managing goals
  • Interacting with dashboards
    • Defining thresholds
    • Adding targets
    • Setting alerts
    • Drill-down capabilities
    • Changing the monitoring source in several charts
    • Dashboard filters
    • Exporting chart data
    • Data refresh and real-time updates
• Reference
  • Languages reference
    • Rule language
      • Rule structure
        • Understanding the structure of business rules
        • Condition part
          • Preconditions
            • for each (object) called (variable), in (list)
            • definitions
              • set (variable) to (definition)
              • from (object)
              • in (list)
              • (attribute) of (list)
              • where (test)
          • Conditions
            • all (type) in (list)
            • all of the following conditions are true
            • any of the following conditions is true
            • in (list)
            • (variable) is defined | undefined
            • it is not true that (a condition)
            • (attribute) of (list)
            • none of the following conditions are true
            • the number of (type)
            • there are (number) (type)
            • there are at least (number) (type)
            • there are at most (number) (type)
            • there are less than (number) (type)
            • there are more than (number) (type)
            • there is at least one (type)
            • there is at most one (type)
            • there is no (type)
            • there is one (type)
        • Action part
          • add (object) to (variable)
          • define (variable) as (value)
          • for each (object) in (list)
          • (attribute) of (list)
          • print (string)
          • remove (object) from (variable)
          • set (variable) to (value)
      • Data types and functions
        • Numbers
          • Mathematical operators and functions
          • Number comparison functions
        • Boolean
          • Logical operators
        • Dates and times
          • Time point functions
          • Time period functions
          • Calendar duration functions
        • Strings
          • String functions
          • String conversion functions
          • String patterns
          • String interpolation
          • String affiliation
        • Lists
          • List functions
          • Aggregation functions
          • Stream operators
        • Empty list constructor
        • Object functions
      • Function invocation
      • Punctuation in rules
    • Advanced Rule Language (ARL)
      • ARL syntax
        • Variables
          • Data types
        • Operators
        • Type conversion
        • Expressions
        • Statements
        • Keywords
      • ARL task model examples
    • Business Function Language
      • Expressions
      • Statements
        • Actions
        • String affiliation
        • declare
        • if/then/else
        • while
        • for each
        • result
  • Error codes in predictive model output
  • Decision runtime REST API reference
• Troubleshooting
  • Decision returns null
  • A rule is not executed
  • An exception is thrown
• Glossary