Applying AI in practice: Key challenges and lessons learned

Authors Lukas Fischer
Lisa Ehrlinger
Verena Geist
Rudolf Ramler
Florian Sobieczky
Werner Zellinger
Bernhard A. Moser
Editors
Title Applying AI in practice: Key challenges and lessons learned
Booktitle Machine Learning and Knowledge Extraction. CD-MAKE 2020
Type in proceedings
Publisher Springer
Volume 12279
ISBN 978-3-030-57320-1
DOI 10.1007/978-3-030-57321-8_25
Month August
Year 2020
Pages 451-471
SCCH ID# 20054
Abstract

The main challenges along with lessons learned from ongoing research in the application of machine learning systems in practice are discussed, taking into account aspects of theoretical foundations, systems engineering, and human-centered AI postulates. The analysis outlines a fundamental theory-practice gap which superimposes the challenges of AI system engineering at the level of data quality assurance, model building, software engineering and deployment.