How to configure your Intelligent Document Processing (IDP) software so it does what you want it to by leveraging truly intelligent capture.
Is there such a thing as machine learning that does NOT require training on sample data? The answer is “sort of” – find out why here.
Every organization with complex processes can benefit from automation by automating manual processes to reduce effort, but how do you do that for core processes?
Explore what Natural Language Processing (NLP) means and when you really need NLP to automate document-oriented processes. This article also delves into document classification – what it does and why organizations use it.
Find out about Intelligent Document Processing (IDP) strategies and shortcuts for what amount of data is satisfactory and how to get there.
There’s no easy button for intelligent document processing, but we are getting closer with the use of deep learning. Find out how.
Key developments in handwriting recognition are discussed here. This includes handwriting recognition innovations and their importance today.
Acquiring automation solutions often means conducting a Proof of Concept or evaluation because technology solutions are often too complex to assess simply by comparing a list of features. Find out how to conduct a successful PoC here.
Now that Software-defined Intelligent Document Processing (IDP) is here, is gathering input data really that big of a problem? Find out here.
The age of software-defined Intelligent Document Processing is here. Find out what this means for your organization.
Here’s a dirty, little secret about IDP software vendor claims and how to truly automate document-oriented tasks.
The Art of Handwriting Recognition in Intelligent Document Processing defines what both handwriting recognition and ICR mean and how to apply them.