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Status parameters of Adaptive Decision Manager nodes

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The Adaptive Decision Manager (ADM) creates and updates adaptive models by processing customer responses in real time. By including adaptive models in your next-best-actions strategies, you can make better decisions for your business based on accurately predicted customer behavior. Use the following reference information to better understand the status parameters of ADM nodes.

For information on how to access the parameters of a selected node, see Monitoring decision management services.

Node ID
The identification number of the node in the cluster.
# Models updated
The number of models that have been updated since the node was started.
# Models updating
The number of ADM models that are being currently updated.
# Models waiting update
The number of models in the model update queue.
Average waiting time (s)
The average time a model waits in the model update queue since the node was started.
Median waiting time (s)
The median time a model waits in the model update queue since the node was started. This value is more robust to outlier models than the average waiting time.
P95 (s)
For 95 percent of models updated since the node was started, the waiting time in the model update queue was equal to or less than the value of this parameter.
The P95 and P99 values give a summary of the underlying distribution of models. The values identify if there is any significant tail in the waiting times before models are updated. If you observe long waiting times, you can adjust the frequency for updating models or add more nodes.
P99 (s)
For 99 percent of the models updated since the node was started, the waiting time in the model update queue was equal to or less than the value of this parameter.
The P95 and P99 values give a summary of the underlying distribution of models. The values identify if there is any significant tail in the waiting times before models are updated. If you observe long waiting times, you can adjust the frequency for updating models or add more nodes.

  • Configuring the Adaptive Decision Manager service for on-premises environments

    Enable the prediction of customer behavior by configuring the Adaptive Decision Manager (ADM) service. The ADM service creates adaptive models and updates them in real time based on incoming customer responses to your offers. With adaptive models, you can ensure that your next-best-action decisions are always relevant and based on the latest customer behavior.

  • Optional: Configuring the Adaptive Decision Manager service for Pega Cloud Services

    The Adaptive Decision Manager (ADM) service provides predictions of customer behavior by creating adaptive models based on customer responses to your offers. With adaptive models, you can ensure that your next-best-action decisions are always relevant and based on the latest customer behavior.

  • Model management

    On the Model Management landing page, you can manage adaptive models that were run and predictive models with responses. You can view the performance of individual models and the number of their responses, or perform various maintenance activities, such as clearing, deleting, and updating models.

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