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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

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781801810562

Length 246 pages

Edition 1st Edition

Languages

Processing

Tools

AWS

Concepts

Data Science

Author (1):

Sonali Sahu

View More author details

Table of Contents (16) Chapters

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

Why subscribe?

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 as 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-10. Also recommend to check availability of AI service in your AWS regions before using it.

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Authors (1)

Sonali Sahu

Sonali Sahu

Sonali Sahu is leading Intelligent Document Processing AI/ML Solutions Architect team at Amazon Web Services. She is a passionate technophile and enjoys working with customers to solve complex problems using innovation. Her core area of focus is Artificial Intelligence and Machine Learning. She has both breadth and depth in technology with industry expertise in Healthcare and Insurance.

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