So what does 99% accuracy really mean? This article explores what 99% accuracy means for your document data extraction or document automation
Is Machine Learning all the same? Let’s delve into the most common machine learning techniques, explore how they are used and where.
New advances in handwriting recognition & data capture offer three important reasons to get a handle on & gain access to your handwritten data.
This article examines the role OCR plays in cognitive capture and how cognitive capture is used in RPA and business systems for document processing.
Are checklists useful in document automation evaluations? Here’s a checklist approach & one that requires a new approach to evaluate technology solutions.
When using advanced capture, are templates such a bad thing? This article explores the use of the “template” and when it makes sense to go “template-less.”
ICR software for handwriting transforms dark data once inaccessible on paper by leveraging new deep learning handwriting recognizers. Find out more here.
Discover how to achieve the highest straight through processing or STP, the significance of error rate & what this means to your ROI.
OCR software often fails to meet business expectations due to some common misconceptions. Some alternatives are explored here.
Google, Amazon, Microsoft & Advanced Capture: are these comparing apples to apples? Article explores differences between OCR software and advanced capture.
Advanced Capture is unlike CRM so why use the same approach when evaluating solutions. Here’s a guide to evaluating your next advanced capture solution.
Advanced capture awareness issue is single biggest constraint to new technology adoption and there’s ways to overcome that constraint. Find out how here.