ICR software for handwriting transforms dark data once inaccessible on paper by leveraging new deep learning handwriting recognizers. Find out more here.
Discover how to achieve the highest straight through processing or STP, the significance of error rate & what this means to your ROI.
OCR software often fails to meet business expectations due to some common misconceptions. Some alternatives are explored here.
Google, Amazon, Microsoft & Advanced Capture: are these comparing apples to apples? Article explores differences between OCR software and advanced capture.
Advanced Capture is unlike CRM so why use the same approach when evaluating solutions. Here’s a guide to evaluating your next advanced capture solution.
Advanced capture awareness issue is single biggest constraint to new technology adoption and there’s ways to overcome that constraint. Find out how here.
The practical applications of Deep Learning and its impact on document automation promises to accelerate change in business processes. Find out how here.
We are entering the end of the “Feature Wars” era for document automation, data capture and what that means to business processes.
For document automation self-learning software spells the end of vendor feature wars so that businesses can focus on the outcomes; find out why here.
Natural Language Processing or NLP helps make document automation highly successful for certain tasks and fails miserably in others that are explored here.
Take an in-depth look at document processing automation at the core of cognitive RPA or Robotic Process Automation and its impact on operations.
Tackling more complex processes leveraging enterprise Robotic Process Automation (RPA) requires overcoming some significant challenges. This article explores how to meet those challenges.