governance

The model is rarely the bottleneck. This lesson examines why data readiness — quality, governance, lineage, and access — is the primary constraint on enterprise AI value, with a practical scorecard, and a clear-eyed comparison of RAG versus fine-tuning economics.

Responsible AI is a practice, not a slogan. This lesson covers the EU AI Act's four risk tiers and what each requires, model monitoring and drift detection, hallucination rates and human-in-the-loop design, guardrail KPIs, and how to run governance as a measured, auditable discipline rather than a compliance checkbox.