Highlighting the necessity of data readiness and MLOps over raw model selection is spot-on. So many enterprise AI projects get stuck in 'proof-of-concept limbo' because teams ignore data pipeline health or fail to set up continuous model monitoring. Excellent breakdown from the eSparksIT team