In part one of this article, I covered several aspects that, together conspire to create a process nightmare when it comes to document-based information contained within attachments. And while many efforts and desires are focused on how to rid processes of documents altogether, the most comprehensive and flexible means to transform slow, complex, and manual […]
Quick, which animal is smarter? If you selected the newborn baby. you’re right! And if you selected the newborn Gazelle, you’re right! Ok, both assertions cannot possibly be correct…can they? After all. the human will ultimately be able to communicate and do things that the Gazelle could never do. But the Gazelle, as a newborn, […]
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.
The coronavirus outbreak is affecting many areas of commerce & business, but the outbreak has the opposite effect on US mortgage markets. Find out why.
Cognitive classification is one important intelligent capture application, but it differs from other types of classification: find out how & why it matters.
Is there one document classifier to rule them all powered by artificial intelligence? This article explores the AI document classification options and how to determine which document classifier works best for your business.
Leveraging AI for document classification can still require many human steps–or not. The amount of manual processing depends on the sophistication of the automated classification engine. Find out about the challenges and how to address them here.
When it comes to the classification of documents, one accepted approach is using text. And yet, visual classification can offer a powerful alternative.
Auto-Classification Revisited: what is the error rate of your document classification system? Successful auto-classification is efficient and reduces costs. A key component to this success is achieving low error rates.
Let’s examine classification techniques and what technology is best suited for each type of organizational challenge.
KMWorld: Leveraging Automated Classification focuses on understanding the challenges that organizations face in selecting the right technologies and solutions.
Faster, better, more accurate. It seems as though the typical response to the need to improve speed, quality, or accuracy is to introduce technology into the mix. Does that mean humans don’t need to be involved? Autonomous Machine Learning Whether it’s artificial intelligence, machine learning, deep learning, or a mix, the notion that computers and […]
