# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=a4J6tHqyw7E
- **Gondola URL:** https://gondola.cc/posts/80054056-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/4efdc9e8d1.jpg
- **Posted:** 2024-06-12T22:23:10.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

Learn how to use the Amazon SageMaker and Amazon DataZone integration to streamline machine learning (ML) governance across your infrastructure, user permissions and assets.

Machine learning (ML) administrators can define infrastructure controls and permissions in DataZone for projects. Using these controls, ML builders can create appropriate SageMaker environments and kick start their development process inside SageMaker Studio. ML builders can search, discover, and subscribe to data and ML assets in their enterprise business catalog. They can also consume these assets in ML tasks such as data preparation, model training, and feature engineering via tools like JupyterLab and SageMaker Canvas. Upon completing the ML tasks, ML builders can publish the resulting assets such as models and feature groups to the enterprise business catalog for enterprise governance and discoverability.

Follow AWS OnAir: 
LinkedIn: https://bit.ly/AWSOnAir-LinkedIn 
Twitch: https://bit.ly/Twitch-AWS-OnAir 

ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

Read more detail in the AWS News Blog https://go.aws/3WMhQKN

#datagovernance #AmazonWebServices #CloudComputing #AmazonSageMaker #AmazonDataZone #MachineLearning #AMGrobelny #KyleDickinson

## Stats

- **Views:** 484
- **Likes:** 5
- **Shares:** 0
- **Comments:** 3

## Credits

No public credits are recorded here. This does not identify who made the post.

## Tags

datagovernance, amazonsagemaker, cloudcomputing, machinelearning, amazondatazone, amgrobelny, amazonwebservices, kyledickinson

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