AWS Machine Learning Blog
Category: AWS Systems Manager
Building automations to accelerate remediation of AWS Security Hub control findings using HAQM Bedrock and AWS Systems Manager
In this post, we will harness the power of generative artificial intelligence (AI) and HAQM Bedrock to help organizations simplify and effectively manage remediations of AWS Security Hub control findings.
Automate continuous model improvement with HAQM Rekognition Custom Labels and HAQM A2I: Part 2
In Part 1 of this series, we walk through a continuous model improvement machine learning (ML) workflow with HAQM Rekognition Custom Labels and HAQM Augmented AI (HAQM A2I). We explained how we use AWS Step Functions to orchestrate model training and deployment, and custom label detection backed by a human labeling private workforce. We described […]
Automate continuous model improvement with HAQM Rekognition Custom Labels and HAQM A2I: Part 1
If you need to integrate image analysis into your business process to detect objects or scenes unique to your business domain, you need to build your own custom machine learning (ML) model. Building a custom model requires advanced ML expertise and can be a technical challenge if you have limited ML knowledge. Because model performance […]
Training and serving H2O models using HAQM SageMaker
Model training and serving steps are two essential pieces of a successful end-to-end machine learning (ML) pipeline. These two steps often require different software and hardware setups to provide the best mix for a production environment. Model training is optimized for a low-cost, feasible total run duration, scientific flexibility, and model interpretability objectives, whereas model […]