Don't be naive with data anonymization (Ep. 98)

<p>Masking, obfuscating, stripping, shuffling.  All the above techniques try to do one simple thing: keeping the data private while sharing it with third parties. Unfortunately, they are not the silver bullet to confidentiality.  All the players in the synthetic data space rely on simplistic techniques that are not secure, might not be compliant and risky for production. At <a href='/datascienceathome/episode/pryml.io'>pryml</a> we do things differently. </p>