Hybrid Ensemble for Robust Innovation Forecasting

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This presentation introduces the Innovation Forecast Engine, covering its objectives, hybrid forecasting advantages, and key components, including data ingestion from NIQ, feature modeling, and primary frameworks like Google TimesFM and Amazon Chronos-Bolt. Emphasis is placed on the ensemble architecture with XGBoost and Adaptive CQR to refine accuracy and manage uncertainty. Practical applications are demonstrated through deterministic metrics, probabilistic confidence intervals, and...