Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, …

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

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. You can streamline the process of feature engineering and data preparation with SageMaker Data Wrangler and finish each …

文 » A