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Intelligent Document Processing with AWS AI/ML

Intelligent Document Processing with AWS AI/ML

By : Sonali Sahu
4.8 (4)
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Intelligent Document Processing with AWS AI/ML

Intelligent Document Processing with AWS AI/ML

4.8 (4)
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)
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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

Summary

In this chapter, we discussed the IDP pipeline and how this can apply to insurance industry use cases. We discussed the benefit enrollment application and how we can use AWS AI services to automatically check for benefit eligibility before we finalize the benefit application process.

We then dove deep into an insurance claims processing use case. We also discussed how to automate the extraction and enrichment process of a claims document and its supporting documents with AWS AI services. We also defined business rules and checked the validity of our claims against the defined business rules. Finally, we dove deep into the implementation details with AWS IDP services to auto-adjudicate a claim. We also used an invalid claim document to check for its completeness.

In the next chapter, we will extend IDP to an additional industry use case. We will dive deep into a mortgage application processing use case and see how IDP can help automate it.

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