Many AI POCs stall before production due to ungrounded outputs, inconsistent evaluations, inadequate content filtering, and fragile deployment pipelines. Effective governance embeds grounding techniques, automated evaluation frameworks, and responsible AI filters into the lifecycle, while Azure AI Gateway enforces policy, observability, and throttling at scale. This session shows how governance patterns improve resiliency, compliance, and trust, enabling AI systems to move from experimentation to reliable enterprise deployment.
Learning Outcomes:
• Identify technical blockers—hallucinations, evaluation gaps, unsafe content—that derail AI POCs.
• Apply grounding, evaluation pipelines, and content filters to improve output quality.
• Use Azure AI Gateway for policy enforcement, monitoring, and scaling.
• Architect for resiliency across the AI delivery pipeline.