Managing Task Intelligence for ITSM models
Summarize
Summary of Managing Task Intelligence for ITSM Models
Task Intelligence for ITSM enables customers to leverage machine learning to enhance incident management through predictive capabilities. This includes generating actionable recommendations and predictions based on field similarities across various IT service incident tables.
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Key Features
- Prediction Models: Users can create various types of prediction models to enhance incident management, including:
- Incident Categorization: Predicts fields for new IT service incidents.
- Similar Incidents: Identifies similar records based on field similarities.
- Major Incident Recommendation: Links current incidents to active major incidents.
- Similar Open Change Requests: Predicts related change requests for incidents.
- Similar Open Problems: Identifies related problems for incidents.
- Model Management: Offers options to create, edit, and export prediction models efficiently.
Key Outcomes
By utilizing Task Intelligence for ITSM, customers can expect to improve incident resolution times through enhanced predictions and recommendations, leading to more effective IT service management. The ability to export models also facilitates seamless integration across different instances, saving time and resources.
Use the machine learning capabilities of Task Intelligence for ITSM to predict field level recommendations and similar records on the incidents which appear as actionable recommendations in the side panel.
Managing Task Intelligence for ITSM involves the following tasks.
Creating a prediction model
You can create and deploy solution-based prediction models to predict incidents fields and actionable real-time recommendations based on the similarities between two types of tables by comparing their fields for IT service incidents.
- Incident Categorization: This model predicts incidents fields for new IT service incidents.
- Similar Incidents: The model looks at the prediction fields of a prediction table and the training fields of a training table. It uses the similarities in these fields to predict similar records for incidents.
- Major Incident Recommendation: The model recommends similar active major incidents which the current incident can be linked to, and recommends you propose similar incidents as a major incident.
- Similar open Change Requests for Incident: The model looks at the incident fields of an incident table and the change request fields of a change request table. It uses the similarities in these fields to predict similar change requests for incidents.
- Similar open Problems for Incident: The model looks at the incident fields of an incident table and the problem fields of a problem table. It uses the similarities in these fields to predict similar problems for incidents.
- Set up a model: Set up a prediction model using a template available in the base system.
- Define a model: Specify the purpose of the model by selecting the training table and prediction table which will be used for training the model further.
- Train a model: Train a model to make predictions using your data.
- Assess your model: Assess the results from the model training, view sample results for the predictions, and select the prediction preferences and behavior for your model.
- Deploy your model: Deploy your model to predict incident fields on incident forms.
Editing a prediction model
Edit a prediction model that has already been trained and deployed. Change the model configurations, view the updated training results, and redeploy the model.
Exporting a prediction model
Export a prediction model in Task Intelligence for ITSM to another instance so you can use the model in the other instance without recreating the model from scratch.