@article{2021:janasz:advancemen,
title = {Advancements in ML-Enabled Intelligent Document Processing and How to Overcome Adoption Challenges in Enterprises},
year = {2021},
note = {The ability to automatically extract and process information from
business documents is crucial to many business processes. With the
advent of powerful machine learning systems, specifically triggered by
deep learning, big data, and today’s computing resources, it has
become possible to automate document processing tasks. Although
AI-enabled business document processing can be an important driver in
the digital transformation of businesses, the adoption by enterprises
is considered rather low. This paper presents new advancements in
business document processing based on machine learning and introduces
business scenarios which benefit from its application. It also offers
a holistic view on challenges faced by suppliers and buyers of ML
applications. We derive a range of critical success factors and
discuss the interrelationship between them in the context of ML.},
journal = {Die Unternehmung},
pages = {340--358},
author = {Janasz, Tomasz and Mortensen, Peter and Reisswig, Christian and Weller, Tobias and Herrmann, Maximilian and Crnoja, Ivona and Höhne, Johannes},
volume = {75},
number = {3}
}