Anonymisation has become a key feature for both public administrations and the enterprise sharing personal data across jurisdictions and for GDPR compliance. However, the roles of Data Controllers and Data Officers are still unclear for many, as it is the need for efficient anonymisation and pseudonymisation. There are many advantages to having clear anonymisation policies, beyond the simple compliance with GDPR to avoid fines. The same techniques can be applied to extract knowledge from Big Data, to obfuscate content, or to ensure key entities and people that need [or need not] be mentioned actually do so. In this session we will learn if 1. We are data officers or data controllers 2. How to act accordingly 3. What benefits does anonymisation offer 4. Basic GDPR concepts and how they affect an IT department and data being shared daily from an organisation (mails, documents, pptx, etc.) 5. NLP features within anonymisation that offer key knowledge extraction.
Machine Learning Researcher
Pangeanic
https://pangeanic.com/
Álvaro Rodríguez has been working as a Machine Learning Researcher since 2020 and is currently enhancing anonymisation engines for Public Administrations and for the Japanese market as an ML Engineer at Pangeanic. Álvaro is a graduate in Computer Engineering with a Master's Degree in Machine Learning and Pattern Recognition from the Polytechnic University of Valencia.
Data Scientist and Machine Learning Engineer
Pangeanic
https://pangeanic.com/
Carles Durá Santonja is a Data Scientist and Machine Learning Engineer at Pangeanic with a specialism in multilingual anonymisation software. Carles is a Data Science Engineer from the Polytechnic University of Valencia and currently expanding his knowledge with an Master in Advanced Programming in Python for BigData, Hacking and Machine Learning.
