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

Język publikacji: angielskim
Autor:
Sonali Sahu
Intelligent Document Processing with AWS AI/ML. A comprehensive guide to building IDP pipelines with applications across industries Sonali Sahu - okladka książki

Intelligent Document Processing with AWS AI/ML. A comprehensive guide to building IDP pipelines with applications across industries Sonali Sahu - okladka książki

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246
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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.

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O autorze książki

Sonali Sahu is leading Intelligent Document Processing AI/ML Solutions Architect 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 Artificial Intelligence and Machine Learning. She has both breadth and depth in technology with industry expertise in Healthcare and Insurance.

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