Gartner recently released, “Infographic: Understand Intelligent Document Processing”. According to Gartner, “The market for document capture, extraction and processing is highly fragmented. Data and analytics leaders should use this research to understand the process flow and differentiated capabilities offered by intelligent document processing solutions.” …

Enterprises roll out an Intelligent Document Processing (IDP) system to either scale their operations or cut down on some costs. Irrespective of what they choose, they need to figure out what will help them achieve their goal. Should they aim for higher accuracy or a reliable confidence score? This is…

When we started our IDP business, our assumption was that cost savings would be the main driver for purchasing decisions — in other words, how we can help our customers save 30–50 percent on data processing costs. …

Most people think that Intelligent Document Processing (IDP) systems are used by companies to primarily save costs. Our experience with some of our leading financial services customers has taught us that this is not usually true. The number one problem that most companies try to solve with IDP is scalability…

All Intelligent Document Processing begins with a document — a collection of one or more pages. Pages form the basis of all the processing that the IDP platforms perform to make sense of data. Though most of the focus of ‘intelligence’ in IDP refers to how you make sense of…

The Our prospects often ask, how can they tell an AI/ML-first product from a traditional, regular expression-based, templatized solution. It is not that hard, we have put together a list of simple tests for you to find this out. Let’s dig in… IDP market is going through an interesting phase…

In keeping with our spirit of continuous learning and improvement, we made some great upgrades to our IDP platform over the summer. As you know, Infrrd empowers our clients with solutions for intelligent work that take advantage of end-to-end process automation, a critical part of which is automated data extraction…

This past month, the Infrrd team collaborated with our client, a large financial institution that has a team of about 100 people extracting data from documents manually. This customer processes a huge variety of documents from numerous sources that do not have any fixed format. Every document from every provider…