Today, AWS announces Amazon SageMaker Data and AI Governance, a new capability that simplifies discovery, governance, and collaboration for data and AI across your lakehouse, AI models, and applications. Built on Amazon DataZone, SageMaker Data and AI Governance allows engineers, data scientists, and analysts to securely discover and access approved data and models using semantic search with generative AI–created metadata. This new offering helps organizations consistently define and enforce access policies using a single permission model with fine-grained access controls.
With SageMaker Data and AI Governance, you can accelerate data and AI discovery and collaboration at scale. You can enhance data discovery by automatically enriching your data and metadata with business context using generative AI, making it easier for all users to find, understand, and use data. You can share data, AI models, prompts, and other generative AI assets with filtering by table and column names or business glossary terms. SageMaker Data and AI Governance helps establish trust and drives transparency in your data pipelines and AI projects with built-in model monitoring to detect bias and report on how features contribute to your model predictions.
To learn more about how to govern your data and AI assets, visit SageMaker Data and AI Governance.
Source:: Amazon AWS