Introduce traceable processes for full observability and monitor the pre- and post-production performance of your ML models.
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Organize your model experiments in the Layer Model Catalog. Log your metadata (metrics, parameters, charts, images) and compare them with advanced version-diffing.
ML Models are not just about training metrics and parameters. Layer enables you to monitor your models over time in production. Track and terminate model degradation issues.
Ever wondered how ML Models affect your business? Develop and attribute your business KPIs to models with Layer. Compare to find out which version of your model has more impact.
Set custom thresholds to your monitoring parameters (train metrics, business KPIs, model drift) to better inform model retraining.
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
By signing up, you’ll get exclusive access to our new platform where you can create and manage your data science projects.