Build an AI-Powered A/B testing engine using Amazon Bedrock

Favorite Organizations commonly rely on A/B testing to optimize user experience, messaging, and conversion flows. However, traditional A/B testing assigns users randomly and requires weeks of traffic to reach statistical significance. While effective, this process can be slow and might not fully leverage early signals in user behavior. This post

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Shared by AWS Machine Learning March 18, 2026

Kick off Nova customization experiments using Nova Forge SDK

Favorite With a wide array of Nova customization offerings, the journey to customization and transitioning between platforms has traditionally been intricate, necessitating technical expertise, infrastructure setup, and considerable time investment. This disconnect between potential and practical applications is precisely what we aimed to address. Nova Forge SDK makes large language

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Shared by AWS Machine Learning March 18, 2026

AWS AI League: Atos fine-tunes approach to AI education

Favorite This post is co-written with Mark Ross from Atos. Organizations pursuing AI transformation can face a familiar challenge: how to upskill their workforce at scale in a way that changes how teams build, deploy, and use AI. Traditional AI training approaches—online courses, certification programs, and classroom-based instruction—are necessary, but

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Shared by AWS Machine Learning March 17, 2026

Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog

Favorite Building and managing machine learning (ML) features at scale is one of the most critical and complex challenges in modern data science workflows. Organizations often struggle with fragmented feature pipelines, inconsistent data definitions, and redundant engineering efforts across teams. Without a centralized system for storing and reusing features, models

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Shared by AWS Machine Learning March 16, 2026