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Cognitive data capture uses AI & machine learning to recognize patterns and ignore imperfections in a document to conduct document analysis with precision.
Digital transformation for automated document processing has become a top priority as outdated solutions are no longer enough for document processing needs.
IDP is an integral part of retail document processing as a way to help retail companies remain competitive in a booming industry.
RPA combined with IDP allows businesses to process a high volume of structurally different documents — without the need for manually-created templates.
Modern intelligent document processing (IDP) solutions that rely on neural networks are smart, fast, accurate, and highly automated, saving you time and money.
Here’s a look at what makes Rossum’s CX efforts unique. Our company’s CX organization is a collection of different customer-facing teams with a single goal – to deliver an excellent and consistent customer experience. This is how we do it.
Computer vision is a game-changer for document processing solutions with its ability to identify patterns and “read” without the help of manual templates.
For HR departments, manual document processing can drain precious time and resources. IDP can help you get more done.
Businesses large and small can benefit from deep learning technology, which continues to allow for human supervised learning while automating rote and repetitive tasks. Let's take a look at how deep learning works - and what it means for document processing.
