AI Teaching Labs

Welcome! I write about Data Engineering, AI/ML Infrastructure, and building scalable data systems.

Explore deep dives on pipelines, orchestration, modern data stack tools, and the intersection of data engineering with AI.

Why AI Needs Data Engineering More Than Most Teams Realize

Most AI failures are data failures before they are model failures. The bottleneck isn’t models or algorithms - it’s data. Learn why data engineering is the most underinvested skill in AI teams.

March 9, 2025 · 18 min · 3668 words · Neo