bedrock sagemaker governance

This tag covers discussions about governance and oversight of Amazon Bedrock and SageMaker AI services within enterprise environments. Topics include managing model deployments, ensuring compliance with internal policies, and controlling access to foundation models. The content explores how organizations can implement guardrails for AI workloads, monitor usage, and maintain audit trails when using Amazon's AI platform. It also touches on the broader implications of Amazon's vertical AI strategy, including custom silicon and data center investments, and how these affect governance practices for Bedrock and SageMaker deployments.