We will tell the story about our journey developing smart multilingual virtual assistants starting from conversational agent Laura in 2012 up to the most recent innovative Conversational AI solutions for the European Commission, the European Space Agency and multiple other business companies. Tilde’s presentation will demonstrate how Language technologies have evolved over time helping chatbot developers address more and more complex tasks while providing the end users smooth, fast and timely information and sophisticated services.
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.
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.
Knowledge Graphs are a powerful and increasingly popular approach to represent complex knowledge and to support analysis and the discovery of new facts. Knowledge Graphs offer themselves for the integration of insights from structured databases, manually curated data and batches of facts derived from large-scale document analysis. However, creating and maintaining large Knowledge Graphs is a laborious and therefore costly undertaking.
