Deep Learning: Practical Applications for Advanced Capture

Deep Learning: Practical Applications for Advanced Capture

The practical applications of Deep Learning and its impact on document automation promises to accelerate change in business processes. Find out how here.
Machine Learning & Its Components - Self-learning Software

Machine Learning: How to Tell What's Real

If there's a knowledge base, chances are it is not real machine learning. Find out how to discern between what's real machine learning and what's simply an expert system leveraging knowledge bases and human SMEs.
document classification: one classifier to rule them all

One Document Classifier to Rule Them All?

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 in Document Classification

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.

Machine Learning AI vs Expert Systems AI | Why It's Better

How do you decide when to use expert systems or machine learning AI to automate your document processing? Find out here.

Capture: Technology Trends & Considerations for 2018

Find out about the latest capture and recognition trends including the key considerations in RPA and artificial intelligence powered by machine learning.

2017 Roundup: Top Articles, Videos & Blogs

The best of 2017 is this roundup includes most read articles, top videos watched and the most popular blogs for Parascript this past year.

Advanced Imaging Shakes Up Capture

Advanced image processing for scanned documents is now more important than ever—find out why and how it makes your life easier in this article.

Where Innovation Meets AP Automation

Panorama of AP automated solutions--traditional approaches versus machine learning and how to determine what solution works best for you.