With rising home sales in the US and increasing demand for the use of technology in the mortgage approval process, IDP-driven end-to-end automation is expected to make a significant impact in this space. Because processes in mortgage origination are labor-oriented, automation and IDP are more impactful and beneficial for the mortgage industry than for mostContinue reading “IDP for Mortgage- Disrupting Legacy Origination”
Tag Archives: Infrrd
Machine Learning, IDP and Chinese Bamboo Trees
When I was a young engineer a couple of years out of college, I was very keen on making a name for myself as an outstanding coder. Someone who was known to solve problems that others could not, someone who could write three lines of code to achieve the same results that others did withContinue reading “Machine Learning, IDP and Chinese Bamboo Trees”
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. ValidationContinue reading “Understanding IDP: Document Classification”
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 confidenceContinue reading “Accuracy vs. Confidence Score: Why Organizations Often Get This Wrong”
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 toContinue reading “Using Auditing to Scale Your Data Processing Operations”
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 surprisedContinue reading “IDP and Page Management: What is a Page, Anyway?”
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 outContinue reading “5 Ways To Tell AI-based IDP Systems Apart from Traditional Ones”
Introducing Our New Patent Grant
A System For Extracting Data from Complex, Unconventional Images Where Traditional OCR Solutions Fail.
Infrrd Recognized as an Everest Group Star Performer & Major Contender
Infrrd was recently recognized by Everest Group as a Star Performer and Major Contender in the consulting and research firm’s “Intelligent Document Processing (IDP) Products PEAK Matrix® Assessment 2021.”