big data processing

Are You Ready for Intelligent Document Processing? | Part 1

Don’t call it “OCR” anymore. Intelligent Document Processing (IDP) or what analyst firm Deep Analysis calls “cognitive capture” is something well beyond the traditional approach of applying brute force OCR on documents in order to create searchable content. In fact, increasing OCR is not needed at all with more and more documents born digital. All […]

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How the Healthcare Documents You Use Affect the Potential for Automation

Within practically any industry, key processes hinge upon access to information and data stored within documents and it is no less in healthcare. Even with significant advancements with EHR/EMR and interoperability, use of documents continues to flourish due to a number of factors including that documents are easy to use, and changing from documents to […]

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Taking Document Automation “Beyond OCR”

Most organizations presume that the foundation of document automation relies upon optical character recognition (OCR). This is largely due to the fact that most documents are text-based and therefore, the primary methods available for automation tasks such as document classification and data entry require OCR (among other techniques). But the perspective that document automation is […]

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Ability to learn and improve with Parascript Smart Learning

Intelligent Document Processing: Pre-trained vs. User-trained

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, […]

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Catch Me If You Can - How AI software prevents fraud

Catch Me If You Can – How AI Fraud Detection Software Transformed the Check Fraud Investigator’s Job

Catch Me If You Can – Today, AI-powered software can mimic human investigators, detect check fraud in milliseconds and stop the scam.

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Cognitive capture can help reduce fraud and human error impacting insurers

Fraud and Human Error Impact Health Insurers

Find out how cognitive capture can help eliminate the heavy toll of fraud and human error that impacts health insurers and patients.

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Is that training data any good?

Cognitive Capture: Is that training data any good? | Applied AI

The need for a data science approach where machine learning is applied to cognitive capture starts with high quality input data. Find out why.

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Guideposts for Cognitive Capture

Beware of Impostors: How to Tell If It’s Really Cognitive Capture

Here are some guideposts that are useful in evaluating the authenticity of an AI capture product – whether it’s really cognitive capture.

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Automation with ML: Are we there yet?

Magic of Machine Learning Applied to Automation: Are We There Yet?

The automation industry is on year-3 of its infatuation with everything machine learning and ‘unparalleled accuracy’ claims, what’s changed?

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Is there Machine Learning that does NOT require training?

IDP: Machine Learning and the Training Required for Reliable Results

No machine learning to-date works with zero training, but advances to reduce the training required for reliable results are underway. Details here.

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IDP Key Factors - minimizing human intervention

Dramatically Minimize Human Intervention – Key Factors Driving IDP

Key factors driving IDP adoption involve data science and specifically the confidence score that is arguably the most important factor involved with any decision to adopt IDP.

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context in IDP with Parascript

Understanding Complex Data via Context in Key Factors Driving New IDP

This new IDP article covers a major automation trend necessary for the claims submission-to-payment reconciliation process.

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Check fraud is now rampant among Millennials

“Check fraud is now rampant among Millennials!” Who would have thought?

Check fraud is now rampant among millennials when checks remain a huge part of the payments landscape – the case for investing in check fraud detection software.

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Machine Learning: Ability to learn and improve with Parascript

Key Factors Significantly Impacting IDP Adoption – Factor 2: Ability to Learn and Improve

This week is a deep-dive into the second factor, which addresses how modern IDP software can learn and improve—different solutions tackle the problem in different ways—some better than others.

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Key Factors Driving Intelligent Document Processing

Key Factors Driving New “Intelligent Document Processing”

Modern IDP software enables the automation of processes due to key factors including the ability to work in suboptimal conditions discussed here.

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