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aws.amazon.com /1 month 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 /1 month ago

Build governance dashboards for Amazon SageMaker Catalog with Amazon Quick

In a previous post, we showed you how to query Amazon SageMaker Catalog metadata using SQL by using the metadata export feature. This post builds on that foundation by demonstratin...

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aws.amazon.com /2 weeks ago

Building agentic AI applications with a modern data mesh strategy on AWS

This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.

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aws.amazon.com /3 weeks ago

Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch

Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more compute instanc...

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aws.amazon.com /1 month 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 /1 week ago

Monitoring discriminative ML models using Amazon SageMaker AI with MLflow

Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case. This post shows...

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aws.amazon.com /3 weeks ago

Detecting fraud patterns across Snowflake and AWS using SageMaker Data Agent

Amazon SageMaker Data Agent launches three new capabilities in Amazon SageMaker Unified Studio notebooks: SQL analytics on Snowflake data sources, materialized view management, and...

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aws.amazon.com /1 month 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 /1 month 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

Safely Releasing Frontier Models to Customers

It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS's inception more...

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aws.amazon.com /4 weeks ago

AI-assisted data development with Kiro and SageMaker Unified Studio

With the AWS Toolkit for Visual Studio Code, you can connect Kiro, VS Code, or Cursor directly to Amazon SageMaker Unified Studio. This post demonstrates the integration using Kiro...

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aws.amazon.com /2 days ago

Launching UI for generative AI inference recommendations in Amazon SageMaker AI

In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives y...

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snowflake.com /1 week ago

FinOps for AI: Snowflake's AI Cost Management and Governance Tools

See how Snowflake uses AI to simplify cost analysis and delivers budgets, per-user quotas and granular AI usage views so teams can govern AI spend at scale.

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aws.amazon.com /1 week ago

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatical...

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databricks.com /4 weeks ago

AI governance at Data + AI Summit 2026: What’s new with Unity AI Gateway

AI is becoming increasingly multi-model, multi-agent, and multi-vendor. Developers...

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aws.amazon.com /6 days ago

Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integrat...

In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hu...

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aws.amazon.com /2 days ago

Multi-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices

This post focuses on explaining the architecture approach to build the open lakehouse architecture on AWS, unifying the metadata catalog across providers for the AI agents to acces...

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aws.amazon.com /1 month ago

Accelerate SQL development with SageMaker Data Agent in Query Editor

In this post, you learn how to use Data Agent in Query Editor to explore data, build multi-step analyses, recover from errors, and summarize results using a public education datase...

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aws.amazon.com /4 weeks ago

Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams, and in...

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snowflake.com /3 weeks ago

The Agentic Enterprise: AI Governance for Marketing Leaders

Learn how marketing leaders can govern agentic AI with strong data foundations, privacy controls and clear accountability across the enterprise.

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vmblog.com /2 weeks ago

Smarsh Collaborates With AWS to Reduce Compliance Review Workload by ~77%, Accelerating Safe Enterprise AI Adoption Thro...

New collaboration delivers enterprise-grade AI governance at scale—proven with global financial institutions

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aws.amazon.com /1 month 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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devops.com /3 weeks ago

SDLC Data Governance Critical as AI Systems Outpace Human Oversight

As adoption of agentic AI accelerates, with limited human participation, the question has shifted from how fast teams can ship software to what was shipped, why it changed, what in...

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aws.amazon.com /3 weeks ago

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You...

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