About change risk

This AI algorithm provides an assessment of the risk of implementing a proposed change; for example, a code change or a new software version.

Hundreds of changes can affect an application during its lifecycle. Change risk is an unsupervised learning algorithm that takes historical data about all of those changes and helps you determine how likely it is that a specific change would cause a problem, based on how successfully that similar change was deployed in the past.

Using the assessment score provided by this AI model, you can determine how safe it is to proceed with a change.

To train this algorithm, you must complete some setup tasks, as described in Setting up training for change risk.

When a Change risk algorithm is successfully trained and the resulting AI model deploys, if someone opens a change request ticket, a Change risk assessment appears in the proactive ChatOps channel (for more information, see Change risk in ChatOps). When the assessment is deemed to be high risk, then an alert is generated and is displayed in the Alert Viewer.

Note: Some training features are specific to the change risk algorithm. For more information, see Managing algorithms.