Create No-Code Predictive Dashboards using Amazon QuickSight and SageMaker - AWS Online Tech Talks

Your video will begin in 10
70 Views
Published
Visualize accurate ML predictions without any code. Organizations often struggle to go beyond historical analysis to include predictive analysis in their business intelligence solutions. With Amazon QuickSight and Amazon SageMaker Canvas, you can leverage data to optimize your future without specialized ML knowledge or complex workflows. In this session, learn how to prepare your tabular datasets and train a ML model without writing a single line of code through Amazon SageMaker Canvas. We will also explore how to visualize those predictions with Amazon QuickSight.

Learning Objectives:
* Objective 1: Create no code ML with Amazon SageMaker Canvas.
* Objective 2: Visualize ML augmented datasets through intelligent dashboards in Amazon QuickSight.
* Objective 3: Learn how to get insights in Natural Language in QuickSight Q.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/quicksight/
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Create-No-Code-Predictive-Dashboards-using-Amazon-QuickSight-and-SageMaker_2022_1014-ABD_OD Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices

☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS
Category
AWS Developers
Tags
Analytics, Business Intelligence, Canvas
Be the first to comment