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.
Modern IDP software enables the automation of processes due to key factors including the ability to work in suboptimal conditions discussed here.
2021 trends for healthcare insurance explored here including how to mine the wealth of medical data and interoperability using Intelligent Document Processing.
Loan file review is critical in the loan process with the automation of file sorting, extracting and verifying of data taking on new urgency. Discover why here.
Bridging the gap between healthcare today and healthcare tomorrow requires machine learning. Find out how ML solves healthcare claims processing problems.
In automation, using that most derided approach—the template—can be useful, but it has its limitations with the best and worst discussed here.
Explore if and when templates are useful in Intelligent Capture and how machine learning is used for highly variable documents or unstructured documents.
Enterprises created a work-from-anywhere environment and events went exclusively online so when we attended intelligent capture webinars, many of us had the same questions, answered here.
How to configure your Intelligent Document Processing (IDP) software so it does what you want it to by leveraging truly intelligent capture.
Is there such a thing as machine learning that does NOT require training on sample data? The answer is “sort of” – find out why here.
Every organization with complex processes can benefit from automation by automating manual processes to reduce effort, but how do you do that for core processes?
AI is now more commonplace in the never-ending battle to keep our elections safe and secure using proven automated signature verification. Find out how it is used.
Explore what Natural Language Processing (NLP) means and when you really need NLP to automate document-oriented processes. This article also delves into document classification – what it does and why organizations use it.
Find out about Intelligent Document Processing (IDP) strategies and shortcuts for what amount of data is satisfactory and how to get there.
- AP/AR Automation
- Best Practices
- Claims and Insurance
- Digital Transformation
- Document Classification
- Fraud Prevention
- Handwriting Recognition
- Information Governance
- Intelligent Automation
- Intelligent Capture Stack
- Machine Learning
- Mortgage Document Automation
- Payment Automation
- Post and Mail
- Service Providers
- Signature Verification
- State/Local Government
- straight through processing