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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

Typically, these datasets are aggregated in a centralized Amazon Simple Storage Service (Amazon S3) location from various business applications and enterprise systems. This post walks through the steps involved in configuring S3 Access Points to enable cross-account access from a SageMaker notebook instance.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner.

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MLOps foundation roadmap for enterprises with Amazon SageMaker

AWS Machine Learning

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. Building an MLOps foundation that can cover the operations, people, and technology needs of enterprise customers is challenging.

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Run machine learning enablement events at scale using AWS DeepRacer multi-user account mode

AWS Machine Learning

Scaling ML effectively for the long term requires the professionalization of the industry and the democratization of ML literacy across the enterprise. Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. The solution assumes access to an AWS account.

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Leveraging Big Data to Fine Tune Customer Experiences

Avaya

Whether you realize it or not, big data is at the heart of practically everything we do today. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. To effectively apply your data, you must first determine what you wish to achieve with your data in the first place.

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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Solution overview.