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Review Predict deployments
Last updated: 2026-11-03Cadence: Weekly
Subscription model: Premium and Enterprise editions of capacity-based Qlik Cloud Analytics; basic tier with Qlik Sense Enterprise SaaS (user-based)
Roles: Tenant Admin (TA), Analytics Admin (AA)
Last verified: 2026-05
| Initial | Recurring | |
|---|---|---|
| Estimated time | 30 min | 15 min |
Applies only if your tenant has Qlik Predict entitlement. Quick check: admin console side nav for ML experiments / ML deployments. If absent, skip this page.
Benefits:
- Approval pipeline doesn't bottleneck on stale model-approval requests
- Active deployed-model count stays within tier limit
- Prediction-configuration ownership is reassigned promptly when owners depart
Goal
Models must be approved before predictions are generated. Approval can be done by users with the Approve or reject ML models permission, or by tenant / analytics admins. Tracking deployed-model count is important because the subscription enforces a maximum number of active deployed models across all tenants within the subscription (for multi-tenant subscriptions); reaching the limit blocks new deployments until existing ones are deactivated or deleted.
Tasks
| Task | TA | AA | DA | AuA |
|---|---|---|---|---|
| Review pending model-approval requests | ✓ | ✓ | ||
| Review Active deployed models count vs. tier limit | ✓ | ✓ | ||
| Review prediction-configuration owners that need to be reassigned (for example, owner left the tenant) | ✓ | ✓ | ||
| After any tenant-level update, re-test forecast real-time prediction endpoints on the Machine Learning API | ✓ | ✓ |
Gotchas
- Forecast (vs. regression) deployments can return
FAILED_PRECONDITION. The error means the prediction request's preconditions aren't met. Common causes: an association-field data-type mismatch between the app and the deployment (for example, a key stored as text in one place and integer in another); the caller lacking Can Edit on the space where the deployment lives; or a new forecast deployment failing after a tenant-level update while existing deployments keep working. Re-test forecast endpoints after any tenant update, and verify the association field's type and space permissions before escalating. (community) - The legacy AutoML real-time prediction and dataset prediction endpoints were removed on February 3, 2026 and superseded by the Machine Learning API (see Qlik release notes and deprecation notices). Migrate any clients still calling the legacy endpoints.
References
- Administering Qlik Predict
- Who can work with Qlik Predict
- Monitoring resource consumption
- Qlik Cloud Analytics subscription options
- Product Descriptions for Qlik Cloud Subscriptions (PDF)
Tags: #weekly #ai_services #qlik_predict #automl #deployments