The Conference for Machine Learning Innovation

The importance and pitfalls of pseudonymization

Session
Join the ML Revolution!
Register until September 15:
✓ Save up to $323
✓ 3 Day Special
✓ Team discount
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Join the ML Revolution!
Register until September 15:
✓ Save up to $323
✓ 3 Day Special
✓ Team discount
Register Now
Join the ML Revolution!
Register until August 18:
✓ Pre-conference workshops for free
✓ Save up to €503
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until August 18:
✓ Pre-conference workshops for free
✓ Save up to €503
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now

A lot of data we work with contains sensitive information. Thus we need to anonymize or pseudonymize the data to protect the identity and privacy of individuals. In this talk I’ll explain the difference between anonymization and pseudonymization, give us all a short (I promise) reminder of how the GDPR is involved, why data protection is simply heckin’ difficult and why there is no one-size-fits-all approach. The talk will be rounded up with a few examples of how Skyhaus has handled and pseudonymized/anonymized sensitive data.

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