AWS Machine Learning Blog
Category: AWS Identity and Access Management (IAM)
Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0
In this post, we demonstrate how to use H-optimus-0 for two common digital pathology tasks: patch-level analysis for detailed tissue examination, and slide-level analysis for broader diagnostic assessment. Through practical examples, we show you how to adapt this FM to these specific use cases while optimizing computational resources.
Implement secure API access to your HAQM Q Business applications with IAM federation user access management
HAQM Q Business provides a rich set of APIs to perform administrative tasks and to build an AI assistant with customized user experience for your enterprise. In this post, we show how to use HAQM Q Business APIs when using AWS Identity and Access Management (IAM) federation for user access management.
Build private and secure enterprise generative AI applications with HAQM Q Business using IAM Federation
HAQM Q Business is a conversational assistant powered by generative artificial intelligence (AI) that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. In an earlier post, we discussed how you can build private and secure enterprise generative AI applications with HAQM Q Business and AWS IAM Identity Center. If you want to use HAQM Q Business to build enterprise generative AI applications, and have yet to adopt organization-wide use of AWS IAM Identity Center, you can use HAQM Q Business IAM Federation to directly manage user access to HAQM Q Business applications from your enterprise identity provider (IdP), such as Okta or Ping Identity. HAQM Q Business IAM Federation uses Federation with IAM and doesn’t require the use of IAM Identity Center. This post shows how you can use HAQM Q Business IAM Federation for user access management of your HAQM Q Business applications.
Implement exact match with HAQM Lex QnAIntent
This post is a continuation of Creating Natural Conversations with HAQM Lex QnAIntent and HAQM Bedrock Knowledge Base. In summary, we explored new capabilities available through HAQM Lex QnAIntent, powered by HAQM Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, HAQM […]
Translate multiple source language documents to multiple target languages using HAQM Translate
Enterprises need to translate business-critical content such as marketing materials, instruction manuals, and product catalogs across multiple languages to communicate with a global audience of customers, partners, and stakeholders. Identifying the source language in each document before calling a translate job creates complexities and adds another step to your workflow. For example, an international product […]
Secure HAQM SageMaker Studio presigned URLs Part 1: Foundational infrastructure
You can access HAQM SageMaker Studio notebooks from the HAQM SageMaker console via AWS Identity and Access Management (IAM) authenticated federation from your identity provider (IdP), such as Okta. When a Studio user opens the notebook link, Studio validates the federated user’s IAM policy to authorize access, and generates and resolves the presigned URL for […]
Enable HAQM SageMaker JumpStart for custom IAM execution roles
With an HAQM SageMaker Domain, you can onboard users with an AWS Identity and Access Management (IAM) execution role different than the Domain execution role. In such case, the onboarded Domain user can’t create projects using templates and HAQM SageMaker JumpStart solutions. This post outlines an automated approach to enable JumpStart for Domain users with […]
Create a cross-account machine learning training and deployment environment with AWS Code Pipeline
A continuous integration and continuous delivery (CI/CD) pipeline helps you automate steps in your machine learning (ML) applications such as data ingestion, data preparation, feature engineering, modeling training, and model deployment. A pipeline across multiple AWS accounts improves security, agility, and resilience because an AWS account provides a natural security and access boundary for your […]