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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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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

Preface

The volume of documents is exponentially growing in the digital era, and it has become paramount to process this data accurately and in an accelerated manner to get value out of it. Most often, the data is in raw document format, and being able to process these documents in an accelerated manner is critical to meeting the growing business needs, but legacy document processing doesn’t meet this growing demand.

This book is a comprehensive guide that takes you through the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) and the core concepts required to process any type of document. You will also obtain hands-on experience with popular Python libraries for automating document processing. This book not only starts with the basics but also takes you through real industry use cases – for document processing in the healthcare industry to deliver value-based care, for claims processing in the insurance industry, and for accelerating loan application processing in the financial industry. That way, you are learning how to apply your skill sets to practical problems.

By the end of this book, you will have mastered the fundamentals of document processing with ML using practical implementations.

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