Data Engineering is 80%+ of most AI projects, so building a good Data Engineering Environment...

CPMAI underscores that preparing and managing data pipelines is foundational: in Phase III: Data Preparation, teams “create a reusable data pipeline to collect, ingest, and prepare data for training” and for inference . Ensuring these pipelines exist and are maintained falls squarely to Data Engineering specialists. While data scientists leverage these pipelines for modeling, the dedicated Data Engineering role is the single most critical hire to support a Big Data environment.