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…
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…
Data Sandboxes: Exploring the potential of open data in a secure environment
Data sandboxes are tools that provide us with environments to test new data-related practices and technologies, making them powerful instruments for managing and using data securely and effectively. These spaces are very useful in determining whether and under what conditions it is feasibl…
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…
Different approaches to identifying high-value data
Since the publication of Directive (EU) 2019/1024 on open data and re-use of public sector information, the European Commission is undertaking a number of actions to develop the concept of high-value data that this directive introduced as an important novelty in June 2019.
We recall that high-value…
Peeling the onion of open data governance
One of the key actions that we recently highlighted as necessary to build the future of open data in our country is the implementation of processes to improve data management and governance. It is no coincidence that proper data management in our organisations is becoming an increasingly complex and…
Laboratories for innovation in data management
Current approaches to public policy-making that respond quickly to changing trends in technology are too often unsuccessful. Policy makers are often pressured to develop and adopt laws or guidelines without the evidence needed to do so safely and without the opportunity to consult affected experts a…
