Data Quality in Data Science and Artificial Intelligence (23/05)
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.
Detailed agenda available though the registration link.
Register on eventbrite.