Temporal segment models added for prediction and control

AI Impact Summary

A new capability introduces temporal segment models to support time-aware prediction and control tasks. This enables segment-based forecasting and decision-making across time horizons, which can improve accuracy for automated control loops, resource planning, and time-series workflows. Technical teams should assess data schemas for temporal segments, prepare client integrations to access the new capability, and evaluate latency and cost implications while planning a measured rollout with monitoring and benchmarking. Successful adoption hinges on establishing model versioning, data lineage, and rollback plans to compare against existing models.