Machine Learning solutions for Flow Designer

  • Release version: Xanadu
  • Updated August 1, 2024
  • 2 minutes to read
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    Summary of Machine Learning solutions for Flow Designer

    Machine Learning solutions for Flow Designer enable users to leverage Predictive Intelligence to make data-driven predictions and recommendations. This functionality requires a subscription to Predictive Intelligence and specifically provides actions that allow for prediction without scripting.

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    Key Features

    • Frameworks: Four frameworks are available for creating machine-learning solutions:
      • Classification Framework
      • Similarity Framework
      • Clustering Framework
      • Regression Framework
    • Actions: Users can access various actions for making predictions, including:
      • Classification Batch Prediction
      • Classification Prediction
      • PI Confidence Check
      • Regression Batch Prediction
      • Regression Prediction
      • Similarity Prediction
    • User Roles: Access control is managed through roles, such as mladmin, which grants comprehensive access to Predictive Intelligence features.

    Key Outcomes

    By implementing these machine learning solutions, ServiceNow customers can automate and enhance decision-making processes, improve data organization, and generate insights without needing extensive coding knowledge. Customers can expect to streamline workflows and leverage predictive analytics to drive better business outcomes.

    Provides actions to make predictions from trained Predictive Intelligence solutions.

    Predictive Intelligence subscription

    This spoke requires a subscription to Predictive Intelligence. For more information, see Install Predictive Intelligence.

    Key features

    Predictive Intelligence for Flow Designer provides four frameworks that you can use to create machine-learning solutions in your instance. Each framework delivers a different solution type for training the system to predict, recommend, and organize data outcomes.
    • Classification framework
    • Similarity framework
    • Clustering framework
    • Regression framework

    Spoke requirements

    • A sharedservice.worker user to train solutions
    • A pre-trained solution for your Predictive Intelligence framework

    Spoke dependencies

    If you’re having trouble installing the app, ensure that these dependent plugins are installed:
    • Predictive Intelligence (com.glide.platform_ml) plugin
    • Predictive Intelligence Reporting (com.glide.platform_ml_pa) plugin
    Note:
    Some of these plugins are licensable features and require appropriate licenses, if used outside the spoke implementation.

    Spoke actions

    Predictive Intelligence for Flow Designer provides actions to make predictions using existing models without having to write or maintain script. Available actions include:

    Action Description
    Classification Batch Prediction Obtain a predicted value from an active classification solution definition using multiple input records.
    Classification Prediction Obtain a predicted value from an active classification solution definition using a single input record.
    PI Confidence Check Compare an output value (number) from Predictive intelligence with a number specified by the user. For example: Compare the confidence value of a prediction with a specified value.
    Regression Batch Prediction Obtain a predicted value from an active regression solution definition using multiple input records.
    Regression Prediction Obtain a predicted value from an active regression solution definition using a single input record.
    Similarity Prediction Obtain similar records that exist in the table specified by the user in their similarity solution definition.

    Spoke user roles

    Predictive Intelligence for Flow Designer provides these user roles to control access to data:
    User role Description
    ml_admin Grants access to all Predictive Intelligence features