7 posts found
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
PET technologies: how to use protected data in a privacy-sensitive way
As organisations seek to harness the potential of data to make decisions, innovate and improve their services, a fundamental challenge arises: how can data collection and use be balanced with respect for privacy? PET technologies attempt to address this challenge. In this post, we will explore what…
The role of open data in the evolution of SLM and LLM: efficiency vs. power
Language models are at the epicentre of the technological paradigm shift that has been taking place in generative artificial intelligence (AI) over the last two years. From the tools with which we interact in natural language to generate text, images or videos and which we use to create creativ…
Linguistic corpora: the knowledge engine for AI
The transfer of human knowledge to machine learning models is the basis of all current artificial intelligence. If we want AI models to be able to solve tasks, we first have to encode and transmit solved tasks to them in a formal language that they can process. We understand as a solved task informa…
Common misunderstandings in data anonymisation
Data anonymisation is a complex process and often prone to misunderstandings. In the worst case, these misconceptions lead to data leakage, directly affecting the guarantees that should be offered to users regarding their privacy.
Anonymisation aims at rendering data anonymous, avoiding the re-ident…
The importance of anonymization and data privacy
We are in a historical moment, where data has become a key asset for almost any process in our daily lives. There are more and more ways to collect data and more capacity to process and share it, where new technologies such as IoT, Blockchain, Artificial Intelligence, Big Data and Linked Data play a…
Applications of [open] data science for agriculture
In many areas, there is a false belief that the primary sector is a technologically backward sector that is not involved in digitization. Perhaps because throughout history, as economic development indicators progressed, their weight in GDP and employment rates has been decreasing in favor of other…
