基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/process-financial-documents-using-amazon-bedrock-data-automation
来源摘要/节选
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Financial institutions process thousands of documents daily, including tax forms, loan statements, and purchase orders. Each has a unique format, structure, and field names, making it challenging to create automation workflows using optical character recognition (OCR) software. Amazon Bedrock Data Automation (BDA) helps solve these challenges by automating the extraction, validation, and analysis of data from financial documents. BDA goes beyond simple OCR by using foundation models that can:
Understand document context
Recognize relationships between different sections
Extract structured, actionable data
Validate information across multiple sources…
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