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Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas

AWS Machine Learning Blog

In the following sections, we demonstrate how to import and prepare the data, optionally export the data, create a model, and run inference, all in SageMaker Canvas. Download the dataset from Kaggle and upload it to an Amazon Simple Storage Service (Amazon S3) bucket. Explore the future of no-code ML with SageMaker Canvas today.

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Tableau Product Innovations from Dreamforce 2022

Tableau

Genie has built-in connectors that bring in data from every channel—mobile, web, APIs—even legacy data through MuleSoft and historical data from proprietary data lakes, in real time. . Prepare for the future with AI-powered predictive analytics. So how does this all work? This is available today.

Tableau 98
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article thumbnail

Tableau Product Innovations from Dreamforce 2022

Tableau

Genie has built-in connectors that bring in data from every channel—mobile, web, APIs—even legacy data through MuleSoft and historical data from proprietary data lakes, in real time. . Prepare for the future with AI-powered predictive analytics. So how does this all work? This is available today.

Tableau 98
article thumbnail

Tableau Product Innovations from Dreamforce 2022

Tableau

Genie has built-in connectors that bring in data from every channel—mobile, web, APIs—even legacy data through MuleSoft and historical data from proprietary data lakes, in real time. . Prepare for the future with AI-powered predictive analytics. So how does this all work? This is available today.

Tableau 52