Book Image

Intelligent Document Processing with AWS AI/ML

By : Sonali Sahu
Book Image

Intelligent Document Processing with AWS AI/ML

By: Sonali Sahu

Overview of this book

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. You’ll 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, you'll 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, you'll find out how to apply your skillset to solve practical problems. By the end of this AWS book, you’ll have mastered the fundamentals of document processing with machine learning through practical implementation.
Table of Contents (16 chapters)
1
Part 1: Accurate Extraction of Documents and Categorization
6
Part 2: Enrichment of Data and Post-Processing of Data
10
Part 3: Intelligent Document Processing in Industry Use Cases

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...