Last week I started a conversation on what template-less means and where it came from. There’s a lot of hype around IDP and the ability to address document automation without requiring the creation of templates that dictate exactly where needed data is found on a page. The reality is that templates if applied correctly, provide […]
Within IDP vendor marketing, if the use of “machine learning” or “artificial intelligence” take the top two spots, coming in a quick 3rd has to be the term “template-less”. The main gist that this use is meant to convey is that organizations shouldn’t have to spend time laying out the various data fields they need […]
No machine learning to-date works with zero training, but advances to reduce the training required for reliable results are underway. Details here.
In automation, using that most derided approach—the template—can be useful, but it has its limitations with the best and worst discussed here.
Explore if and when templates are useful in Intelligent Capture and how machine learning is used for highly variable documents or unstructured documents.
Enterprises created a work-from-anywhere environment and events went exclusively online so when we attended intelligent capture webinars, many of us had the same questions, answered here.
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.
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.