EMERGINGDOSSIER · /n/data-pipeline-is-the-real-bottleneck
Production AI fails on data, not models
MOMENTUM · SHARE OF VOICE
Sophisticated models keep underperforming because the data underneath them was never taken seriously. The boundary between data engineer and ML engineer is dissolving, and the engineers who own both pipeline reliability and ML systems are now the best-compensated.
THE BRIEFHOW THIS NARRATIVE IS FRAMED
FRAMINGS
- · data substrate matters more than the model
- · feature pipeline is the boundary
- · ML platform engineer hybrid
PATTERNS
- · ML data engineer
- · ML platform engineer
- · data underneath
- · pipeline reliability
- · postmortems of failed AI projects
- · feature pipeline
- · convergence
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