This paper explains how enterprises can mature their analytics capabilities by standardizing feature engineering, enabling model reuse, and scaling AI through unified data and compute architectures. It discusses challenges such as fragmented tools, pipeline “jungles,” and difficulty moving models into production. Teradata’s ClearScape Analytics and Enterprise Feature Store offer modular approaches for data prep, model training, deployment, governance, and real-time scoring. Diagrams across pages 5–8 illustrate lifecycle optimization. Organizations adopting this framework accelerate time-to-insight, improve reliability, and operationalize AI at enterprise scale.

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