Dynamic clustering in AI Models uncovers patterns and creates targeted customer segments by grouping similar records, such as customer profiles. A built-in algorithm assigns records to clusters each time you run a predict job, requiring no training data or reusable model.
Where: This change applies to Lightning Experience in Enterprise, Performance, Unlimited, and Developer editions with Data 360.
When: This feature is available starting in September 2026.
Why: Analyze harmonized data to uncover hidden patterns and relationships. Use dynamic cluster assignments to create targeted customer segments. Enrich records with variables for downstream AI models. You can also organize large datasets into manageable clusters for forecasting or multiclass models.
How: In Data Cloud, go to the AI Models tab and select Cluster. Select either K-Means Clustering or Density-Based Spatial Clustering (HDBSCAN), and then run the predict job. The output includes a cluster ID for each record. Because assignments are generated dynamically, cluster IDs can change when your source data or model configuration changes. This release doesn't support human-readable cluster labels.