Summary

In this chapter, we learned how to build an auditing workflow for named entity recognition to solve real-world challenges that many organizations face today with document processing, using Amazon Textract, Amazon Comprehend, and Amazon A2I. We reviewed the loan authentication use case to validate the documents before they can be passed to a loan processor. We considered an architecture based on conditions such as reducing the validation time from 2 to 4 weeks to 24 hours within the first 3 months of solution implementation. We assumed that you, the reader, are the solution architect assigned to this project, and we reviewed an overview of the solution components along with an architectural illustration in Figure 4.1.

We then went through the pre-requisites for the solution build, set up an Amazon SageMaker Notebook instance, cloned our GitHub repository, and started executing the code in the notebook based on instructions from this chapter. We covered training an Amazon...