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Intelligent Document Processing with AWS AI/ML

You're reading from   Intelligent Document Processing with AWS AI/ML A comprehensive guide to building IDP pipelines with applications across industries

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781801810562
Length 246 pages
Edition 1st Edition
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Author (1):
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Sonali Sahu Sonali Sahu
Author Profile Icon Sonali Sahu
Sonali Sahu
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Accurate Extraction of Documents and Categorization
2. Chapter 1: Intelligent Document Processing with AWS AI and ML FREE CHAPTER 3. Chapter 2: Document Capture and Categorization 4. Chapter 3: Accurate Document Extraction with Amazon Textract 5. Chapter 4: Accurate Extraction with Amazon Comprehend 6. Part 2: Enrichment of Data and Post-Processing of Data
7. Chapter 5: Document Enrichment in Intelligent Document Processing 8. Chapter 6: Review and Verification of Intelligent Document Processing 9. Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake 10. Part 3: Intelligent Document Processing in Industry Use Cases
11. Chapter 8: IDP Healthcare Industry Use Cases 12. Chapter 9: Intelligent Document Processing – Insurance Industry 13. Chapter 10: Intelligent Document Processing – Mortgage Processing 14. Index 15. Other Books You May Enjoy

Technical requirements

For this chapter, you will need access to an AWS account. Before getting started, we recommend that you create an AWS account by referring to the AWS account setup and Jupyter notebook creation steps mentioned in the Technical requirements section in Chapter 2, Document Capture and Categorization.

You can find Chapter-9 code sample in GitHub: https://github.com/PacktPublishing/Intelligent-Document-Processing-with-AWS-AI-ML-/tree/main/chapter-9 . Also recommend to check availability of AI service in your AWS regions before using it.

We have already learned about the stages of Intelligent Document Processing and how AWS AI services can help automate processing documents in each stage of IDP. Just to recap, we went through the following stages in Chapter 1 through Chapter 7:

Figure 9.1 – IDP pipeline

Now, we will apply these IDP stages to specific use cases in the insurance industry:

  • Automating the benefit enrollment...
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