AI Projects Stumble Because Production Infrastructure Is Still a Sandpit
Most AI initiatives never leave the lab because their prototype data stacks can't scale to production and ops teams are understaffed. Without flexible, secure, and reliable infrastructure, models flop regardless of algorithmic elegance. Platform engineers must treat AI workloads as first‑class citizens now, or the 95% failure rate persists.