Abstract: Data Science and Artificial Intelligence techniques impose challenging demands on the quality of data that are often characterised by huge, integrated or connected volumes and a large variety of data formats. Trusted and explainable data are of vital importance for the success of applications. Legal requirements even put extra challenges in view of data protection and non-discrimination. With this event, we share experiences on data quality handling from the Flanders AI Research Program and provide networking opportunities for (potential) actors in this program.

Registration: This half day event is held on-site only and is free of charge. Registration is mandatory.

Target Audience: Research and development leads, data scientists, IT developers and researchers from companies, CTOs and CIOs, research centers and universities.

Agenda:

14h00-14h15 Welcome & Introduction by dr.Sabine Demey – director of the Flanders AI Research program & prof. Piet Demeester – Flanders AI Research program ringleader, IDLab - UGent

14h15-14h35 Automating Data Science by prof. Luc De Raedt – DTAI, KULeuven

14h35-14h50 Demo on Automating Data Science by Adem Kikaj - DTAI, KULeuven

14h50-15h10 Impact on Data Strategy by prof. Guy De Tré – DDCM, UGent

15h10-15h30 Handling Unstructured Textual Data by Michaël Brands – Consono

15h30-15h45 Data Quality Toolbox by prof. Antoon Bronselaer – DDCM, UGent

15h45-16h30 Coffee break

16h50-17h10 Deep Learning based Anomaly Detection for Online Data Quality Monitoring by prof. Peter Karsmakers – DTAI, KULeuven

17h10-17h30 Use Case: Multiple Sclerosis Data Management by prof. Liesbet Peeters, Biomedical Research Institute, Hasselt University

16h30-16h50 Use Case: Data-related challenges in the use of AI for public employment by prof. Tijl De Bie `& dr. Bo Kang – AIDA, UGent

17h30-19h30 Network reception

Organizers:

Declarative Languages and Artificial Intelligence research unit, KU Leuven (prof. Luc De Raedt and PhD. Jessa Bekker)

Database, Document and Content Management research unit, Ghent University (prof. Guy De Tré)