Problem Prediction Features
To access the problem module prediction features,
- Go to Setup > Zia > Artificial Intelligence > Predictive Features.
- Select Problems from the drop-down.
- Enable the required feature.
Technician Prediction
Analyzes data in the Problems module and assigns technicians with relevant skills to problems.
During training, Zia studies the interdependent relationships between the technician assigned to a problem and details such as subject, description, group, and category, with the first three fields taking equal precedence over category. Zia then uses this relationship history to allocate the right technicians to new problems.
Prerequisites
Initial Training Requirements | Periodic Training Requirements |
50 problems with technicians, in each site | 10 problems with technicians, in each site |
If any sites do not contain the necessary number of problem requests with assigned technicians, the training will fail for that particular site, and the prediction rate for the failed site will be null. Zia will then attempt to train the failed sites in subsequent trainings. Click the Prediction Rate on the technician prediction card to view the prediction rate of each site.
Zia suggests the top three technicians based on the subject, description, group, and category when a problem request is created or edited. Zia's suggestions are listed in the Technician field drop-down in the Add/Edit Problem form and in the right panel.
You can track the source of technician assignments in the problem request history.
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