Applying AI in practice: Key challenges and lessons learned
|L. Fischer, L. Ehrlinger, V. Geist, R. Ramler, F. Sobieczky, W. Zellinger, B. Moser. Applying AI in practice: Key challenges and lessons learned. pages 451-471, DOI 10.1007/978-3-030-57321-8_25, 8, 2020.|
|Buch||Machine Learning and Knowledge Extraction. CD-MAKE 2020|
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.