Understanding IDP: Document Classification

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.” Gartner’s recently released “Infographic: Understand Intelligent Document Processing” covers these 6 critical flows in IDP. 1. Capture or Ingestion2. Document Preprocessing3. Document Classification4. Data Extraction5. Validation

Understanding IDP: Capture and Preprocessing

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.” Click here to read the complete article

Accuracy vs. Confidence Score: Why Organizations Often Get This Wrong

Accuracy vs. Confidence Score: Why Organizations Often Get This Wrong 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

The Path To “No-Touch” Mortgage

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. But the last six years have taught us those cost savings are the number two priority for most

Using Auditing to Scale Your Data Processing Operations

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. How can they enable their teams to

IDP and Page Management: What is a Page, Anyway?

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 data, you will be surprised

5 Ways To Tell AI-based IDP Systems Apart from Traditional Ones

The IDP market is going through an interesting phase – a lot of new players have entered the market and all of them make similar claims about their AI and use of Machine Learning Technologies. We have worked with customers who were led to believe that they are using an AI platform for IDP but found out

Empowering Intelligent Work through Infrrd’s Improved IDP Platform

Empowering Intelligent Work through Infrrd’s Improved IDP Platform by Sujith Parakkunnath, on September 13, 2021 10:00:00 AM PDT 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

How to Use Repeatability to Gain 120% Data Processing Efficiency

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 massive variety of documents from numerous sources that do not have any fixed format. Every document from every provider comes with its own unique layout

Introducing Our New Patent Grant

A System For Extracting Data from Complex, Unconventional Images Where Traditional OCR Solutions Fail.