Design for Data Quality

Data Quality. A term that sounds important, but what does it really mean? And why should designers care? In a world where artificial intelligence relies on high-quality data to deliver results, data quality has become more critical than ever. Yet, it often remains a vague concept that few truly understand.

In this talk, we’ll break down the concept of data quality and demonstrate how designers play a key role in ensuring that data is not only collected correctly but is also of high quality. Through concrete examples and practical principles, you’ll learn how design can bridge the gap between usability and data quality – and how this can be the difference between mediocre and outstanding solutions in the world of AI.

Join us and discover how we can shape tomorrow’s data together – one design decision at a time!