Intelligent Document Processing with AWS AI/ML: A comprehensive guide to building IDP pipelines with applications across industries

Book Description

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

Book Description

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.

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

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 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.

中文：

书名：使用AWS AI/ML进行智能文档处理: 跨行业应用程序构建IDP管道的综合指南

借助智能文档处理，跨行业构建真实世界的人工智能应用

主要功能

• 解决常见的文档处理问题，从任何类型的文档中提取价值
• 使用AWS AI/ML以更结构化和加速的方式解锁更深层次的IDP见解
• 应用您的知识解决各种行业应用中的真实文档分析问题

图书描述

在这个数字时代，随着数据量呈指数级增长，专业人员以加速和经济高效的方式处理这些数据以从中获得价值已成为至关重要的事情。组织接收的数据通常是原始文档格式，能够处理这些文档对于满足不断增长的业务需求至关重要。

本书是一本全面的指南，可帮助您掌握AI/ML基础知识及其在文档处理用例中的应用。您将首先了解遗留文档处理中面临的挑战，并了解如何使用AWS AI服务构建端到端文档处理管道。随着您的前进，您将获得使用流行的Python库的动手经验，以处理和从文档中提取见解。本书从基础知识开始，带您了解文档处理的真实行业用例，以在医疗保健行业提供基于价值的护理，并加快金融行业的贷款申请处理。在整个章节中，你会发现如何应用你的技能来解决实际问题。

到本AWS书结束时，您将通过实际实现掌握了带有机器学习的文档处理的基础知识。

什么你会学到

• 了解从文档中获取见解的需求和挑战
• 探索智能文档处理管道的常见阶段
• 了解AWS AI/ML如何成功自动化IDP管道
• 了解如何通过利用AI编写干净优雅的Python代码
• 掌握AWS AI服务的概念和功能
• 探索跨行业的IDP，如保险，医疗保健，金融和公共部门
• 如何在IDP中应用业务规则
• 构建、训练和部署IDP serverless架构模型

这本书是为谁准备的

本书面向技术专业人士和思想领袖，他们希望通过利用文档中的见解来理解和解决业务问题。如果您想学习机器学习和人工智能，并使用现实世界的用例，例如使用技术进行文档处理，那么本书适合您。为了充分利用本书，您应该具有AI/ML和python编程概念的基本知识。本书对于希望通过行业用例探索AI/ML的开发人员也特别有用。