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2010

Data Integration

Prompt Engineering

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. By analyzing millions of metadata elements and data flows, Iris could make intelligent suggestions to users, democratizing data integration and allowing even those without a deep technical background to create complex workflows.

ETL

ETL Prompt Engineer Prompt Engineering Generative AI

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 23, 2024

Seamless customization and integration –The serverless architecture of Amazon Bedrock frees up the time of Agent Creator developers so they can focus on innovation and rapid development. SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS).

Generative AI

Generative AI IDP LLM Automation

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

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