30 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…
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…
How AI is transforming employment
Artificial intelligence (AI) has revolutionised various aspects of society and our environment. With ever faster technological advances, AI is transforming the way daily tasks are performed in different sectors of the economy.
As such, employment is one of the sectors where it is having…
Artificial intelligence to improve interoperability in the European public sector
The European Union has placed the digital transformation of the public sector at the heart of its policy agenda. Through various initiatives under the Digital Decade policy programme, the EU aims to boost the efficiency of public services and provide a better experience for citizens.…
Data policies that foster innovation
The importance of data in today's society and economy is no longer in doubt. Data is now present in virtually every aspect of our lives. This is why more and more countries have been incorporating specific data-related regulations into their policies: whether they relate to personal, busin…
Data citation, a practice that favours the re-use of data
We are living in a historic moment in which data is a key asset, on which many small and large decisions of companies, public bodies, social entities and citizens depend every day. It is therefore important to know where each piece of information comes from, to ensure that the issues that affect our…
Overcoming Data Publishing Challenges with Linked Data Event Streams (LDES)
What challenges do data publishers face?
In today's digital age, information is a strategic asset that drives innovation, transparency and collaboration in all sectors of society. This is why data publishing initiatives have developed enormously as a key mechanism for unlocking the potential of this…
New Year's resolution: Apply the UNE data specifications in your organisation
As tradition dictates, the end of the year is a good time to reflect on our goals and objectives for the new phase that begins after the chimes. In data, the start of a new year also provides opportunities to chart an interoperable and digital future that will enable the development of a robust data…
From data strategy to data governance system (part 1)
More and more organisations are deciding to govern their data to ensure that it is relevant, adequate and sufficient for its intended uses, i.e. that it has a certain organisational value.
Although the scenarios are often very diverse, a close look at needs and intentions reveals that many of these…
