Latest updates for Amazon Machine Learning

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

Recent items include:

  • Beyond EC2 and S3: 15 AWS AI and Machine Learning Services Every Cloud & DevOps Engineer Should…
  • LLM optimization integration for Amazon SageMaker Python SDK
  • Launching UI for generative AI inference recommendations in Amazon SageMaker AI

Post angles to try

Share the most useful takeaway for your audience.
Turn one article into a quick practical checklist.
Ask your audience how this shift affects their work.
Turn angles into scheduled posts

Fresh articles and ideas

Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

awstip.com /1 month ago

Beyond EC2 and S3: 15 AWS AI and Machine Learning Services Every Cloud & DevOps Engineer Should…

When people begin learning AWS, they usually focus on services like EC2, S3, IAM, VPC, RDS, Lambda, CloudFormation, and ECS. These are the…Continue reading on AWS Tip »

Read source
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...

Read source
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...

Read source
aws.amazon.com /1 month ago

Oracle Machine Learning for SQL on Amazon RDS: Build machine learning models entirely in SQL

Learn how to build, train, and score a credit risk machine learning model entirely in SQL using Oracle Machine Learning for SQL (OML4SQL) on Amazon RDS for Oracle. The built-in Aut...

Read source
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...

Read source
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...

Read source
aws.amazon.com /1 month ago

Building a scalable personalized recommendation system on AWS: From batch to real-time

Learn how the Everyday Essentials team built a scalable personalized recommendation platform on AWS using a batch-first architecture with Amazon MWAA for orchestration, Amazon Sage...

Read source
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-...

Read source
aws.amazon.com /3 weeks ago

Powering agentic AI with real-time streaming data on AWS

Agentic AI applications now observe, reason, and act on streaming data in production. This post presents three architecture patterns that form a unified streaming backbone for the...

Read source
aws.amazon.com /1 day 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...

Read source
aws.amazon.com /2 weeks ago

AWS vector solutions: Build agentic AI where your data lives

AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required....

Read source
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...

Read source
aws.amazon.com /1 month ago

Announcing the Agentic Catalog Experience in Amazon Quick

Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators to discover upstream catalog assets in natural language and auto-create Datasets an...

Read source
aws.amazon.com /1 week 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...

Read source
aws.amazon.com /3 weeks ago

How Jumio built a real-time feature store on AWS

Learn how Jumio built a centralized, real-time feature store on AWS with Amazon SageMaker Feature Store, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams. T...

Read source
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...

Read source
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...

Read source
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...

Read source
aws.amazon.com /1 month ago

Introducing Claude Opus 5 on AWS: Anthropic’s most capable Opus model

This post covers Opus 5’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See...

Read source
magellan-solutions.com /1 month ago

Why Machine Learning Companies Outsource Data Center Managed Services as Workloads Scale

A machine learning startup can go from training a promising prototype to managing petabytes of data and thousands of GPU […] Magellan Solutions - Call Center | BPO | KPO | Outsourc...

Read source
aws.amazon.com /4 weeks ago

AI-powered cost optimization agent for Amazon Kinesis Data Streams

Learn how to deploy an open-source, AI-powered agent built on Amazon Bedrock that automatically analyzes every Amazon Kinesis Data Streams stream in your account, compares costs ac...

Read source
aws.amazon.com /1 month ago

Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation

In this post, we cover why Deepgram built on IAM temporary delegation, how the integration works end-to-end, and what it unlocks for customers running Deepgram speech models on Sag...

Read source
aws.amazon.com /1 month ago

From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

Formula 1® partnered with AWS to build the Data Accelerator, using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform. Learn how F1 cut data source onboa...

Read source
aws.amazon.com /2 weeks ago

Agentic observability with Amazon OpenSearch Service MCP Apps

Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets y...

Read source

Turn fresh research into a full content calendar

Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.

Sources covering Amazon Machine Learning

aws.amazon.com

Recent coverage from public sources
Public source

aws.amazon.com

Recent coverage from public sources
Public source

aws.amazon.com

Recent coverage from public sources
Public source

medium.com

Recent coverage from public sources
Public source

magellan-solutions.com

Recent coverage from public sources
Public source