Sonali Sahu - Intelligent Document Processing with AWS AI/ML: A comprehensive guide to building IDP pipelines with applications across industries
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- Book:Intelligent Document Processing with AWS AI/ML: A comprehensive guide to building IDP pipelines with applications across industries
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Build real-world artificial intelligence applications across industries with the help of intelligent document processing
Key Features- Tackle common document processing problems to extract value from any type of document
- Unlock deeper levels of insights on IDP in a more structured and accelerated way using AWS AI/ML
- Apply your knowledge to solve real document analysis problems in various industry applications
With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs.
This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. Youll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, youll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, youll find out how to apply your skillset to solve practical problems.
By the end of this AWS book, youll have mastered the fundamentals of document processing with machine learning through practical implementation.
What you will learn- Understand the requirements and challenges in deriving insights from a document
- Explore common stages in the intelligent document processing pipeline
- Discover how AWS AI/ML can successfully automate IDP pipelines
- Find out how to write clean and elegant Python code by leveraging AI
- Get to grips with the concepts and functionalities of AWS AI services
- Explore IDP across industries such as insurance, healthcare, finance, and the public sector
- Determine how to apply business rules in IDP
- Build, train, and deploy models with serverless architecture for IDP
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 machine learning and artificial intelligence, and work with real-world use cases such as document processing with technology, this book is for you. To make the most of this book, you should have basic knowledge of AI/ML and python programming concepts. This book is also especially useful for developers looking to explore AI/ML with industry use cases.
Table of Contents- Intelligent Document Processing with AWS AI and ML
- Document Capture and Categorization
- Accurate Document Extraction with Amazon Textract
- Accurate Extraction with Amazon Comprehend
- Document Enrichment in Intelligent Document Processing
- Review and Verification of Intelligent Document Processing
- Accurate Extraction and Health Insights with Amazon HealthLake
- IDP Healthcare Industry Use Cases
- Intelligent Document Processing Insurance Industry
- Intelligent Document Processing - Mortgage Processing
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A comprehensive guide to building IDP pipelines with applications across industries
Sonali Sahu
BIRMINGHAMMUMBAI
Copyright 2022 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s) nor Packt Publishing or its dealers and distributors will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Publishing Product Manager: Dhruv Jagdish Kataria
Content Development Editor: Priyanka Soam
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Copy Editor: Safis Editing
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First published: October 2022
Production reference: 1300922
Published by Packt Publishing Ltd.
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ISBN 978-1-80181-056-2
www.packt.com
For my parents, for always loving and believing in me.
For all the women who can do whatever they want, when they want or will one day.
Sonali Sahu is a leading Intelligent Document Processing Artificial Intelligence (AI) and Machine Learning (ML) solutions architect on the 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 AI and ML. She has both breadth and depth of experience working with technology, with industry expertise in healthcare and insurance. She has significant architecture and management experience in delivering large-scale programs across various industries and platforms.
Winnie Tung has over 30 years of experience solving some of the worlds most difficult technical problems in the financial services industry. She is currently modernizing the AI/ML platform at JPMC. Before that, she worked in AWS Professional Services, specializing in developing AI/ML solutions for the real world. She helps customers to operationalize and manage AI/ML solutions at scale.
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 doesnt 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.
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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