Amazon SageMaker now supports sharing predictions with Amazon QuickSight
Amazon SageMaker Canvas continues to democratize machine learning (ML) by enabling business analysts to share predictions from ML models with Amazon QuickSight. This enables business analysts to leverage ML predictions generated in SageMaker Canvas, enrich them with interactive dashboards in QuickSight, and use the insights from these dashboards in their day-to-day business decisions. SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own — without requiring any ML experience or having to write a single line of code.
Amazon SageMaker Canvas continues to democratize machine learning (ML) by enabling business analysts to share predictions from ML models with Amazon QuickSight. This enables business analysts to leverage ML predictions generated in SageMaker Canvas, enrich them with interactive dashboards in QuickSight, and use the insights from these dashboards in their day-to-day business decisions. SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own — without requiring any ML experience or having to write a single line of code.
To achieve effective business outcomes, business analysts can analyze, interpret, and find patterns in data using ML models in SageMaker Canvas without writing a line of code. You can now share predictions from these ML models as QuickSight datasets that will serve as a new source for enterprise-wide dashboards so you can analyze for trends, risks, and business opportunities. Through this capability, ML becomes more accessible to business teams so they can accelerate data-driven decision making.
This new capability is available in all AWS regions where SageMaker Canvas is available today. To learn more, see the Amazon SageMaker Canvas product page.