Amazon QuickSight now supports predictive analytics using machine learning models created with Amazon SageMaker Canvas, enabling the entire organization to build and visualize predictive dashboards without coding.

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<p>Amazon QuickSight now supports predictive analytics using machine learning (ML) models created in Amazon SageMaker Canvas, without writing any code. This allows you to build predictive dashboards for better insights.</p>
<p>Specifically, the article covers:</p>
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<li>Traditional analytics provides historical and present data, but predictive analytics enables understanding of what could happen using accurate predictions</li>
<li>You can send data from QuickSight to SageMaker Canvas to build and train ML models using a no-code experience</li>
<li>These models can then be consumed in QuickSight to generate predictions on new data, build predictive dashboards, and share them with stakeholders</li>
<li>This enables better decision making across various use cases like churn prediction, shipment times, loan approvals, etc.</li>
<li>The new predictive analytics feature is now available in multiple AWS regions</li>
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Amazon QuickSight announces predictive analytics using Amazon SageMaker Canvas

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