Create an incident prediction model in Task Intelligence for ITSM
Summarize
Summary of Create an incident prediction model in Task Intelligence for ITSM
The incident prediction model in Task Intelligence for ITSM allows you to create and deploy models that categorize incidents and predict relevant fields for new IT service incidents. As an admin, you can customize predictions based on your needs, selecting input and output fields and defining conditions for training the model.
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Key Features
- Customizable Prediction Model: Choose output fields to predict, input fields for prediction, and conditions for training.
- Prediction Behavior: Options include auto-fill, recommendations, monitoring only, or disabling predictions.
- Base System Model: Comes with pre-trained models for predicting similar incidents, change requests, and problems, as well as major incident recommendations.
- Automatic Training: The model is trained automatically on your existing data upon installation of the Task Intelligence for ITSM plugin.
- Performance Monitoring: View model performance results and make adjustments via the Task Intelligence for ITSM monitoring interface.
Key Outcomes
By implementing the incident prediction model, you can enhance incident management efficiency. The model's predictions can help auto-fill fields in the incident form or provide recommendations, improving response times and the quality of incident handling. The ability to refine the model based on performance results allows for continuous improvement of prediction accuracy.
Create and deploy solution-based incident categorization prediction models to predict incidents fields for new IT service incidents.
- Output fields: The fields that the model predicts
- Input fields: The fields used to predict the output fields
- Conditions that choose the set of records to train the model
- The prediction behavior: auto-fill, recommend, or Monitor only (run in the background) or turn off predictions.
After customizing your model, you can view the test results and deploy the model.
The model uses previous case records to train. You can see how the model would have predicted fields for past cases, providing you with an estimate of how the model performs when deployed.
Base system model
- Similar Incidents: For predicting the similar incidents for incidents table.
- Similar open Change Requests for Incident: For predicting the similar change requests for incident table.
- Similar open Problems for Incident: For predicting the similar problems for incident table.
- Major Incident Recommendation: For recommending similar active major incidents which the current incident can be linked to, and for recommending that you propose similar incidents as a major incident.
When you install the Task Intelligence for ITSM plugin in your production instance, the model is installed and is trained on your data automatically. This model is auto-deployed. The model starts predicting data in the background and doesn’t impact the Incident form.
The prediction data is then stored in the prediction tables. You can navigate to to view the performance results of this model. Based on these results, you can edit the model to show the predictions in Service Operations Workspace. You can configure the model to use the predictions to either auto-fill or give recommendations for the output fields on an incident form.
To edit and redeploy the base system model, you can navigate to the Setup page. From the model list, select the required similarity model and edit the model. For more information on how to edit the model, see Edit an incident prediction model in Task Intelligence for ITSM.
This model is linked with a base system rule in the Recommended Actions for ITSM configuration. An admin isn't required to go to the Recommended Actions for ITSM application to configure any rules for this model.
To set up a new model using a template, see Set up your incident prediction model.