Feature Wars: End of an Era in Document Automation

Feature Wars - the End of an Era

We are entering the end of the “Feature Wars” era for document automation, data capture and what that means to business processes.
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.
Digital Transformation - overused, but essential buzz-term

Digital Transformation: Overused, But Essential Buzz-Term

Digital transformation is an overused, but essential buzz-term since more economic value is derived from the digital world even businesses with physical goods and services must transform.
You Don't Know Us, But You Know Us - Parascript

You Don't Know Us, But You Know Us

You don't know us, but you know us. If you’ve deposited a check via ATM or sent a letter, chances are you used Parascript.

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.

BPOs Meet the Competition

BPOs that provide document processing services face new competition, and if they are not prepared to respond, their viability may be at stake.
example of ground truth data: squirrel, no squirrel

Striking Gold: What's Behind Any Successful AI

Discover and collect the gold behind every successful artificial intelligence: what ground truth data means and its critical importance.
Where Are You on the Automation Continuum?

Capture: Where Is Your Business on the Automation Continuum?

Find out where your business is in the “automation maturity model” continuum in terms of flexibility and ability to increase efficiency.

Opening the Black Box of Machine Learning-based AI

Opening the black box of machine-learning-based AI explores concerns about AI systems impacting our daily lives and how we determine if an AI made the right or wrong decision.