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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning Blog

Common stages include data capture, document classification, document text extraction, content enrichment, document review and validation , and data consumption. Amazon Comprehend Endpoint monitoring and auto scaling – Employ Trusted Advisor for diligent monitoring of Amazon Comprehend endpoints to optimize resource utilization.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

In this post, we describe a use case for custom content enrichment for insurance providers. The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. Custom classification is a two-step process.

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