Tackling more complex processes leveraging enterprise Robotic Process Automation (RPA) requires overcoming some significant challenges. This article explores how to meet those challenges.
Document Automation: Drilling into the Core of Cognitive RPA
Drilling into cognitive robotic process automation (RPA) reveals document automation at its center. This article focuses on cognitive RPA and what it means to your business.
One Document Classifier to Rule Them All?
Is there one document classifier to rule them all powered by artificial intelligence? This article explores the AI document classification options and how to determine which document classifier works best for your business.
Data Entry vs Validation: Accelerate Throughput at Less Cost
Data entry vs validation–the goal for document automation is to accelerate straight-through processing with reduced data entry and higher quality data results at a lower cost. This article explores how to get the most out of your automation strategy.
Attaining the Unattainable: 100% Document Processing Automation
Attaining 100% document automation within this lifetime may be unattainable, but it doesn’t keep us from working toward the ideal. Discover how accuracy is meaningfully measured and when it is NOT and why it matters to your business.
Leveraging AI in Document Classification
Leveraging AI for document classification can still require many human steps–or not. The amount of manual processing depends on the sophistication of the automated classification engine. Find out about the challenges and how to address them here.
Robotic Process Automation: Is It the Silver Bullet?
Is RPA the silver bullet? Dispelling myths and getting at the facts of today’s state of document processing and robotic process automation.
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.
Realizing Automation Potentials in Logistics and Transportation
Overcoming the challenges of logistics and transportation document processing automation, especially waybills and bills of lading is now possible through the latest document classification and data extraction software powered by machine learning.
Overcoming Medical Billing Challenges: Black-and-White Claims
Overcoming medical billing challenges when between 10 percent to 25 percent of paper-initiated claims are black-and-white images translates to around 150 million annually with high costs to process; this article focuses on how full automation and high quality data extraction results can be achieved.
Invoice Data Verification: Taking Invoice Recognition Out of AP
Invoice data verification takes invoice capture or recognition beyond the Accounts Payable (AP) department for use in new applications, namely tax auditing and refund recovery.
Handprint Recognition: Beyond Boxes & Combs in ICR
With ICR, moving beyond requiring boxes and combs with advanced handprint recognition systems.