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AWS launches dynamic AI pipelines for document data extraction

AWS has introduced new intelligent document processing pipelines leveraging generative AI and Amazon Bedrock. These pipelines offer both on-demand and batch inference options to dynamically extract data from various document types. Users can specify different large language models and prompts at the document level, providing flexibility in processing time and cost optimization. AI

IMPACT Enables more efficient and cost-effective data extraction from unstructured documents using generative AI.

RANK_REASON The article describes a new product/service offering from AWS that leverages existing AI technologies for a specific use case.

Read on AWS Machine Learning Blog →

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AWS launches dynamic AI pipelines for document data extraction

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Tim Shear ·

    Extract Data with On-demand and Batch Pipelines Dynamically

    This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost.