The unstructured data impacts 95% of the organizations and costs them millions of dollars
annually. If managed well, it can significantly improve business productivity. The traditional …

ABSTRACT Robotic Process Automation (RPA) deals with the automation of rule-based
process tasks to increase process efficiency and to reduce process costs. Due to the utmost …

Many companies are struggling to manage their production systems due to increasing
market uncertainty. While emerging 'smart'technologies such as the internet of things …

The relevance of the Key Information Extraction (KIE) task is increasingly important in natural
language processing problems. But there are still only a few well-defined problems that …

Robotic Process Automation (RPA) is the automation of rule-based routine processes to
increase process efficiency and to reduce process costs. In practice, however, RPA is often …

Robotic process automation (RPA) has emerged as the leading approach to automate tasks
in business processes. Moving away from back-end automation, RPA automated the mouse …

State-of-the-art solutions for Natural Language Processing (NLP) are able to capture a
broad range of contexts, like the sentence-level context or document-level context for short …

Business process automation is a booming multi-billion-dollar industry that promises to
remove menial tasks from workers' plates--through the introduction of autonomous agents …

To build high quality datasets and unlock the value of unstructured data, a systematic
approach for data capture is necessary. Cognitive automation (CA), that is, automation of …

To be competitive in the era of industry 4.0, manufacturing firms must leverage emerging
digitalization technologies to improve their operational efficiencies and customer value …