Capturing Unstructured Documents
An increasing number of projects are being launched to capture data from unstructured documents.
This article explores how NLP techniques can be used to extract data from Deeds …
Category: Intelligent Capture
Capturing Documents from a Mobile Device
Have you ever heard the expression “carrying a scanner in your pocket”?
Mobile devices (phones and tablets) have many useful features for users, and today I want to highlight the ability to capture documents …
Artificial Intelligence in RPA
There is a tendency in many communications about RPA to add the words “Artificial Intelligence” to the message, in such a way that one might think a certain RPA technology provider includes Artificial Intelligence in their products.
It’s true that both technologies complement each other well, and from any RPA product you can easily call an external Artificial Intelligence service. But what really piqued my curiosity was whether RPA products actually include AI capabilities themselves.
In this article, I’ve tried to separate the wheat from the chaff and identify what the main RPA vendors actually include in their products. …
Don’t Be Misled by the OCR Percentage
I still see projects where the success of a data capture system is measured based on the OCR accuracy percentage. Even in some proof-of-concept tests, clients still tend to compare different solutions according to the extraction percentages achieved.
However, this figure is not a fundamental business parameter. What decision can an executive make if we tell them that one solution has a capture rate of 80% and another has 70%? Most likely, none—unless other factors that affect the calculation of a potential return on investment are also considered.
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