Lack of proper anonymization or pseudonymization introduces risks; if there is a data breach, huge penalties are applied for non-compliance with GDPR. Even if you think you’ve analyzed your data and believe it to be anonymized, there are assessment techniques that can measure the risks. In this workshop you’ll learn how to work with the new Privacy Extension for KNIME, which utilizes advanced anonymization techniques.
This workshop is run by Artem Ryasik & Jan Lindquist (Redfield).
We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here:
More online workshops
|May 5||Behind the Scenes of Machine Learning|
|May 7||Building a Drug Discovery Workflow in 8+1 steps with KNIME|
|May 12||Deep Learning for Image Analysis|
|May 14||KNIME Big Data Workshop|
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.
Download the latest free, open source version of knime here: knime.com/download