Page title: Predictive Intelligence Automl
AutoML builds, tunes, and deploys models for failures, demand, and anomalies.
Solution
- Automate feature engineering and model selection, then deploy to real‑time streams and batch scoring with one pipeline. - Detect drift and govern lifecycle with policies for retraining, approval gates, and safe rollbacks. - Close the loop by feeding insights into Simulation and Orchestration for proactive, measurable actions.
Core Capabilities
Task types: classification, regression, anomaly detection, forecasting
Feature store with automatic feature generation from time‑series
Online inference on streams; batch scoring supported
Drift detection, retraining policies, and A/B comparisons
What‑if modeling integrated with Simulation