12 posts found
Explainable artificial intelligence (XAI): how open data can help understand algorithms
The increasing adoption of artificial intelligence (AI) systems in critical areas such as public administration, financial services or healthcare has brought the need for algorithmic transparency to the forefront. The complexity of AI models used to make decisions such as granting credit or making a…
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…
SLM, LLM, RAG and Fine-tuning: Pillars of Modern Generative AI
In the fast-paced world of Generative Artificial Intelligence (AI), there are several concepts that have become fundamental to understanding and harnessing the potential of this technology. Today we focus on four: Small Language Models(SLM), Large Language Models(LLM), Retrieval Augmented Generation…
The importance of the Telco sector in the deployment of a Digital Europe
Building Europe's digital infrastructure of tomorrow
As a global technology race unfolds, Europe is deploying the regulatory framework and investments needed to foster innovation and technological leadership in areas such as online platforms, artificial intelligence, data, cloud, quantum technologie…
The future of privacy in a world dominated by open data
In the era dominated by artificial intelligence that we are just beginning, open data has rightfully become an increasingly valuable asset, not only as a support for transparency but also for the progress of innovation and technological development in general.
The opening of data has brought enormou…
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…
Edge computing and its importance in real-time data management
Autonomous vehicles, smart waste management services, trainers that monitor how much we exercise... We live in an increasingly digital and connected environment, with greater similarities to the future we dreamed of as children. It is the so-called Internet of Things (IoT), a network of physical obj…
Responsible management of data concerning minors
Young people have consolidated in recent years as the most connected demographic group in the world and are now also the most relevant actors in the new digital economy. One in three internet users across the planet is a child. Furthermore, this trend has been accelerating even more in the current…
