Issue link: https://read.uberflip.com/i/1492159
Many of today's organizations have a large number of documents that are critical to business processes. Legacy optical character recognition (OCR) systems for extracting and analyzing data are manual, cost-intensive, prone to errors, and difficult to scale. This problem is prevalent across many industries: Financial services organizations must examine documents, such as loan or credit applications, insurance forms, and insurance claims, with the highest degree of accuracy and care, often turning to manual review to extract sensitive or critical information, such as mortgage rates or credit scores. Healthcare and life sciences organizations are fighting an uphill battle against an ever-growing mountain of documents and forms, searching for and analyzing data essential to clinical trial research and patient diagnoses in order to treat their patients more accurately. Public sector entities are forced to tie up their already-strained resources to process data from documents, such as applications for a wide variety of public services. Intelligent document processing (IDP) is changing the equation. Powered by machine learning (ML), it can help organizations extract text from millions of documents, understand the sentiment within data or the relationships between the entities, and even include a human step to validate, correct, or augment the results for higher accuracy and compliance. IDP solutions can help empower the employees, clients, and customers of these businesses with fast, easy access to the information they need—while helping them discover new insights from data and expedite decision cycles. In this eBook, we'll take a deeper look at how IDP can provide practical business benefits—and show you how services from Amazon Web Services (AWS) can help achieve impactful outcomes. 2