Data Quality in Data Science and Artificial Intelligence

Flanders AI Research Program

Learn from top experts on the importance of data quality in AI applications

iGent

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 &amp; Introduction by dr.Sabine Demey – director of the Flanders AI Research program &amp; prof. Piet Demeester – Flanders AI Research program ringleader, IDLab - UGent14h15-14h35 	Automating Data Science by prof. Luc De Raedt – DTAI, KULeuven14h35-14h50 	Demo on Automating Data Science by Adem Kikaj - DTAI, KULeuven14h50-15h10 	Impact on Data Strategy by prof. Guy De Tré – DDCM, UGent15h10-15h30 	Handling Unstructured Textual Data by Michaël Brands – Consono15h30-15h45 	Data Quality Toolbox by prof. Antoon Bronselaer – DDCM, UGent 15h45-16h30	Coffee break16h50-17h10	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 University16h30-16h50 	Use Case: Data-related challenges in the use of AI for public employment by prof. Tijl De Bie `&amp; dr. Bo Kang – AIDA, UGent 17h30-19h30 	Network receptionOrganizers: 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)

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Data Quality in Data Science and Artificial Intelligence

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Data Quality in Data Science and Artificial Intelligence

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