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Layer tightly couples and versions your Data, ML Model and Code. It provides extensive UI functionality to do version-diffing not on the underlying code but also with your Data and ML model versions.
With the declarative approach, we automatically version your entities; datasets, features and ml models so that you can focus what's really important for the business.
Every entity and every change to these entities create a new version. With everything being immutable, it's easy to experiment, rollback, and iterate.
Auditability, regulatory compliance, and governance are crucial aspects of any data platform. Having built-in, automated, mandatory versioning facilitates success in these areas.
Layer is built with versioning as a core concept. Different versions can be easily accessed via the UI or SDK. Lineage and comparisons across versions are supported.
Centralized location for AI management across the enterprise, as well as a way to identify any duplication of efforts and opportunities for cost savings
Easy way to access performance
and audit logs for compliance purposes
Role-based access controls and better approach for managing AI security