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Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

AWS Machine Learning

With SSO mode, you set up an SSO user and group in IAM Identity Center and then grant access to either the SSO group or user from the Studio console. For instance, administrators may want to set up IAM permissions for a Studio SSO user based on their Active Directory (AD) group membership.

APIs 99
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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs 141
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.

APIs 121
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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.

APIs 97
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Intelligent healthcare forms analysis with Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Lastly, the Lambda function stores the question list in Amazon S3.

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Deploy a Slack gateway for Amazon Bedrock

AWS Machine Learning

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. Create a new group and add the app BedrockSlackIntegration. He helps customers implement big data, machine learning, analytics solutions, and generative AI solutions.

APIs 105
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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

Depending on the design of your feature groups and their scale, you can experience training query performance improvements of 10x to 100x by using this new capability. The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. Creating feature groups using Iceberg table format.

Scripts 98