Advanced Analytics in Quick sight

Question & Answer
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1

Hi All,
I have couple questions regarding Advanced Analytics in Quick Sight.

  1. I would like to know what are the Forecasting models that we use.
  2. What are the tuning options in the model and can we switch to a different model.

Thankyou in advance

2

Hello Ashok,

With ML Insights, Amazon QuickSight provides three major built-in features:

  • ML-powered anomaly detection – Amazon QuickSight uses Amazon’s proven machine learning technology to continuously analyze all your data to detect anomalies (outliers). You can identify the top drivers that contribute to any significant change in your business metrics, such as higher-than-expected sales or a dip in your website traffic. Amazon QuickSight uses the Random Cut Forest algorithm on millions of metrics and billions of data points. Doing this enables you to get deep insights that are often buried in the aggregates, inaccessible through manual analysis.
  • ML-powered forecasting – Amazon QuickSight enables nontechnical users to confidently forecast their key business metrics. The built-in ML Random Cut Forest algorithm automatically handles complex real-world scenarios such as detecting seasonality and trends, excluding outliers, and imputing missing values. You can interact with the data with point-and-click simplicity.
  • Autonarratives – By using automatic narratives in Amazon QuickSight, you can build rich dashboards with embedded narratives to tell the story of your data in plain language. Doing this can save hours of sifting through charts and tables to extract the key insights for reporting. It also creates a shared understanding of the data within your organization so you make decisions faster. You can use the suggested autonarrative, or you can customize the computations and language to meet your unique requirements. Amazon QuickSight is like providing a personal data analyst to all of your users.
    For more info - Gaining insights with machine learning (ML) in Amazon QuickSight - Amazon QuickSight
    Nevertheless, you could integrate Amazon Sagemaker Model with Quicksight to bring in your model - see link for more info -Integrating Amazon SageMaker models with Amazon QuickSight - Amazon QuickSight

When we talk about GenBI capabilities it is powered by AWS Bedrock but as far as my understanding goes … we dont know which model it uses underneath.
Fore more info on AWS Bedrock visit -Build Generative AI Applications with Foundation Models - Amazon Bedrock - AWS

Hope this helps.

Cheers,
Deep