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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

Who this book is for

This book is for technical professionals and thought leaders who want to understand and solve business problems by leveraging insights from their documents. If you want to learn about ML and AI and solve real-world use cases, such as document processing with technology, this book is for you. In order to learn from this book, you should have a basic knowledge of AI, ML, and Python programming concepts. The book is also excellent for developers who want to explore AI/ML with industry use cases.

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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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