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)
Part 1: Accurate Extraction of Documents and Categorization
Part 2: Enrichment of Data and Post-Processing of Data
Part 3: Intelligent Document Processing in Industry Use Cases

Automating the benefits enrollment process with IDP

Before diving deep, let’s first understand how insurance companies work and what an insurance underwriting process is.

Insurance underwriting is a process that insurance companies follow to assess the risk and profit of offering a policy. For that reason, insurance companies define ways to decide how much of a risk it is to provide coverage. They need to know the possibility of something going wrong by checking the identity of a person and a person’s history or records. To verify these details, insurance companies collect additional data and supporting documents. After the review and verification stage and calculating the risk, the underwriter sets the premium for the insurance.

For example, suppose someone is looking for car insurance. An insurance underwriter will evaluate their identity and driving history and check the details of the vehicle to determine the insurance policy details. During the process, they...