Machine learning with decentralized training data using federated learning on Amazon SageMaker

Explain medical decisions in clinical settings using Amazon SageMaker Clarify

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Unlocking efficiency: Harnessing the power of Selective Execution in Amazon SageMaker Pipelines

Train self-supervised vision transformers on overhead imagery with Amazon SageMaker

Intelligent video and audio Q&A with multilingual support using LLMs on Amazon SageMaker

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

Zero-shot text classification with Amazon SageMaker JumpStart

Build a centralized monitoring and reporting solution for Amazon SageMaker using Amazon CloudWatch