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.
Now that Software-defined Intelligent Document Processing (IDP) is here, is gathering input data really that big of a problem? Find out here.
The age of software-defined Intelligent Document Processing is here. Find out what this means for your organization.
Ontology is the latest buzzword in the intelligent capture solution domain. Sounds cool. But what does it mean? Does it really change things for the better?
More than just the end user experience, ease of use leveraging machine learning unleashes document automation for every organization. Find out how.
These practical steps for a Proof of Concept (PoC) offer guidance on assessing the straight through processing (STP) potential of any intelligent capture system.
Adopting intelligent capture is risky if you don’t have all the facts. Here is actionable advice for avoiding the pitfalls and ensuring project success.
What it takes to build a cognitive capture solution from scratch is important due to the hidden elements of staff skills and OCR performance. Find out more.
Does Your OCR Suffer From Low Confidence? Explore how to ensure that accurate data passes straight into business workflows without manual verification.
Intelligent capture technology behind achieving STP requires accuracy. This means examining the elements of accuracy & how to evaluate it, discussed here.
With Intelligent Capture, what gets us into trouble…is approaching document automation as an OCR problem instead of a data science problem. Find out why.