The Seven Myths of Anonymisation | hub.berlin Skip to main content
1 & 2 APR `20 STATION BERLIN
11 Apr 2019 | 15:20 - 15:40 | Big-Data.AI Summit

The Seven Myths of Anonymisation

Hari Seldon Stage
Stage BAS
Data anonymisation has always been rather seen as a necessary evil instead of a helpful tool. Complex implementations, fall offs in data quality, ambiguity in legislation, missing certifications and many different (sometimes very theoretical) models make this topic difficult to access. That’s why plenty of myths have arisen around that technology over the years. This talk clears up with the most important misunderstandings. It will also explore how data anonymisation contributes to the protection of privacy in times of Advanced Machine Learning and Artificial Intelligence.
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