Amazon Machine Learning (Tech Preview)

This connector was built with an OpenAPI specification

Solution Details

Solution Type: Platform Connector
Author: Boomi
Published on: May 16, 2026
Last updated on: May 16, 2026

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Key Features

Create and manage ML models, data sources, and evaluations programmatically within integration workflows
Generate real-time predictions by sending records to deployed ML model endpoints
Execute batch prediction jobs against large datasets stored in Amazon S3
Monitor model performance through automated evaluation retrieval and status tracking
Manage data sources from Amazon S3, Amazon RDS, and Amazon Redshift for model training

How it works

This connector integrates Boomi with Amazon Machine Learning, enabling organizations to programmatically create, train, evaluate, and manage predictive models within AWS. It supports the full lifecycle of machine learning workflows, including data source configuration, model generation, and both real-time and batch prediction operations. By embedding ML capabilities directly into integration processes, businesses can automate intelligent decision-making across applications without manual intervention. The connector leverages the complete Amazon Machine Learning API, built from its official OpenAPI specification.

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