Latest updates for Amazon Sagemaker Data & Ai Governance

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Recent items include:

  • How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker
  • Enabling AI sovereignty on AWS
  • Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

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aws.amazon.com /1 week ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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aws.amazon.com /2 weeks ago

Enabling AI sovereignty on AWS

Cloud and AI are transforming industries and societies at unprecedented speed, from accelerating research and enhancing customer experiences to optimizing business processes and en...

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aws.amazon.com /1 month ago

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

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aws.amazon.com /1 month ago

Analyzing your data catalog: Query SageMaker Catalog metadata with SQL

In this post, we demonstrate how to use the metadata export capability in Amazon SageMaker Catalog and perform analytics such as historical changes, monitor asset growth and track...

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aws.amazon.com /2 weeks ago

Introducing the updated AWS User Guide to Governance, Risk, and Compliance for Responsible AI Adoption

The financial services industry (FSI) is using AI to transform how financial institutions serve their customers. AI solutions can help proactively manage portfolios, automatically...

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aws.amazon.com /2 weeks ago

Securing client confidentiality at scale: Automated data discovery and governed analytics for legal workloads

In this post, we show you a reference architecture that automates sensitive data discovery across legal document repositories on Amazon Web Services (AWS), demonstrate how to captu...

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aws.amazon.com /1 month ago

Navigating multi-account deployments in Amazon SageMaker Unified Studio: a governance-first approach

In this post, we explore SageMaker Unified Studio multi-account deployments in depth: what they entail, why they matter, and how to implement them effectively. We examine architect...

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aws.amazon.com /2 weeks ago

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preproc...

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aws.amazon.com /3 weeks ago

Agent-guided workflows to accelerate model customization in Amazon SageMaker AI

Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire jo...

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aws.amazon.com /1 day ago

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality

This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on...

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aws.amazon.com /2 weeks ago

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

In this post, we show you how to set up FLOPs tracking during LLM fine-tuning using the open source Fine-Tuning FLOPs Meter toolkit on Amazon SageMaker AI. You learn how to determi...

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aws.amazon.com /1 week ago

Automate deployment of data and AI applications with Amazon SageMaker Unified Studio CI/CD CLI

The CI/CD CLI for Amazon SageMaker Unified Studio (aws-smus-cicd-cli) is an open source command line tool that automates deployment of multi-service data and AI applications across...

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aws.amazon.com /4 days ago

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users a...

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aws.amazon.com /2 weeks ago

Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accele...

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aws.amazon.com /1 month ago

Improve the discoverability of your unstructured data in Amazon SageMaker Catalog using generative AI

This is a two-part series post. In the first part, we walk you through how to set up the automated processing for unstructured documents, extract and enrich metadata using AI, and...

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aws.amazon.com /1 month ago

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps

In this post, we show how to combine DVC (Data Version Control), Amazon SageMaker AI, and Amazon SageMaker AI MLflow Apps to build end-to-end ML model lineage. We walk through two...

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snowflake.com /2 weeks ago

Data Governance in Healthcare for Trustworthy AI

Learn why trustworthy AI in healthcare depends on governed data, auditability, lineage and human oversight — and how Snowflake supports that foundation.

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snowflake.com /3 weeks ago

Trusted Data Foundations for AI in Healthcare and Government

Learn why healthcare and government AI wins depend on trusted data foundations, governance frameworks and accessible data.

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aws.amazon.com /1 month ago

Building AI-ready data: Vanguard’s Virtual Analyst journey

In this post, you'll learn how Vanguard built their Virtual Analyst solution by focusing on eight guiding principles of AI-ready data, the AWS services that powered their implement...

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aws.amazon.com /3 weeks ago

Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI

Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined...

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dataconomy.com /1 month ago

AWS launches Agent Registry to centralize AI agent governance

AWS has launched its Agent Registry, a centralized platform designed to govern and manage AI agents, addressing key issues in enterprise AI deployment.

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aws.amazon.com /1 month ago

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes wi...

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aws.amazon.com /1 month ago

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Today, Amazon SageMaker AI  supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon...

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aws.amazon.com /4 days ago

Automate data discovery and centralized management with AWS Glue Data Catalog

In this post, we show you how to tackle data discovery, classification, and governance across your databases, data warehouses, and object storage to regain visibility and control o...

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Sources covering Amazon Sagemaker Data & Ai Governance

aws.amazon.com

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aws.amazon.com

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aws.amazon.com

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dataconomy.com

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snowflake.com

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