Latest updates for Amazon Sagemaker Canvas

Fresh curated links around Amazon SageMaker Canvas are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and mode
  • Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake
  • Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with

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aws.amazon.com /2 weeks ago

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and mode...

In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGB...

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aws.amazon.com /2 weeks ago

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake...

Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your...

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aws.amazon.com /2 weeks ago

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with...

In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashb...

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

LLM optimization integration for Amazon SageMaker Python SDK

The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. Benchmark an endpoint, generate data-driven...

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github.blog /1 month ago

How to build interactive experiences with canvases

Canvases turn AI into interactive workspaces where you can visualize information, explore workflows, and take action across complex tasks. The post How to build interactive experie...

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aws.amazon.com /4 weeks ago

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

The Amazon SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on the cluster your ML team already operates. This post shows how to insta...

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github.blog /3 weeks ago

How canvases make agentic workflows visible, steerable, and cost-efficient

Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post How ca...

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aws.amazon.com /3 weeks ago

NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart

NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to deploy the 30B Mixture-...

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aws.amazon.com /1 month ago

Inference meta-monitoring for Amazon SageMaker AI endpoints with Amazon Quick

Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to c...

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aws.amazon.com /4 days ago

Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod

Building a Physical AI system takes a continuous pipeline, not a single training job. This post shows how to run that model factory (synthetic data generation, post-training, and c...

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aws.amazon.com /1 week ago

Bring your own model with Amazon SageMaker AI: Script mode in SDK v3

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest...

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aws.amazon.com /1 month ago

Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers

In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make intelligent d...

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aws.amazon.com /21 hours ago

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry, wit...

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aws.amazon.com /22 hours ago

Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI. Compare throughput, la...

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aws.amazon.com /4 weeks ago

How OneAdvanced deployed over 50 AI agents on UK-sovereign AWS

Learn how OneAdvanced, a UK enterprise software provider, built a UK-sovereign AI platform by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, with a RAG pip...

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aws.amazon.com /1 week ago

How ZS democratized secure ad-hoc analytics with Amazon SageMaker

Learn how ZS built a security-hardened Amazon SageMaker platform that balances developer agility with healthcare-grade governance, serving 1,000+ daily active users across 200+ Sag...

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ksugle.com /6 days ago

Radius Canvas duyuruldu: GitHub Copilot app içinde uygulamayı görselleştirip deploy edin

<p>Microsoft Azure Incubations ekibi Radius Canvas'ın public preview'unu duyurdu. GitHub Copilot app içinde uygulama mimarisini Modeled, Planned ve Deployed görünümleriy...

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aws.amazon.com /1 week ago

Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics

Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor container. Deepgram closes that...

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aws.amazon.com /2 weeks ago

Secure SageMaker Unified Studio access with SAML and conditional policies

Learn how to secure Amazon SageMaker Unified Studio by integrating it with an external SAML identity provider such as Okta. This post shows you how to apply conditional access poli...

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aws.amazon.com /6 days ago

Modernizing and scaling support operations with generative AI on AWS

Learn how to build a generative AI-based support operations platform on AWS that converts training videos into structured SOPs, applies Retrieval-Augmented Generation to guide tick...

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aws.amazon.com /1 week ago

Build agentic creative workflows with Amazon Quick and fal

Creative teams produce more assets than ever, but fragmented tools and manual context transfer slow production. This post shows how to build a reusable agent harness with Amazon Qu...

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aws.amazon.com /2 weeks ago

Track SageMaker Unified Studio project costs with custom tags and AWS CUR

Learn how to track Amazon SageMaker Unified Studio project costs by custom tags. This serverless solution enriches AWS Cost and Usage Report (CUR) data with custom project tags and...

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aws.amazon.com /3 weeks ago

Building agentic workflows with SageMaker AI and Bedrock AgentCore

Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the...

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