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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

With an increase in use cases and datasets using bucket policy statements, managing cross-account access per application is too complex and long for a bucket policy to accommodate. 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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Build a cross-account MLOps workflow using the Amazon SageMaker model registry

AWS Machine Learning

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

The Amazon Bedrock VPC endpoint powered by AWS PrivateLink allows you to establish a private connection between the VPC in your account and the Amazon Bedrock service account. Use the following template to create the infrastructure stack Bedrock-GenAI-Stack in your AWS account. You’re redirected to the IAM console.

APIs 122
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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 97
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10 Customer Experience Best Practices for all B2B Sales Teams

Kayako

In this article, we take a closer look at ten of the customer experience best practices that all B2B sales teams should adopt, in order to stay competitive, meet or exceed expectations, and build loyalty. . Make Customer Experience a Priority . Define the Ideal Customer Experience . Create a Customer Service Coaching Plan .

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Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning

We also recommend best practices when using Amazon Translate in this automatic translation pipeline to ensure translation quality and efficiency. Solution overview We built automatic translation pipelines for multiple languages using the ACT feature in Amazon Translate.

APIs 73
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“Free”: The True Costs of Knowledge Based Authentication Questions?

pindrop

Imagine that you are trying to log in to your 401k account after a long time and as luck would have it you don’t remember the password. You try to reset the password online but you don’t remember the answers to the security questions you had set up while opening the account. in 2012 to 6.1%