13 posts found
Applications of artificial intelligence in professional sports
Sport has always been characterized by generating a lot of data, statistics, graphs... But accumulating figures is not enough. It is necessary to analyze the data, draw conclusions and make decisions based on it. The advantages of sharing data in this sector go beyond mere sports, having a positive…
AI tools for research and a new way to use language models
AI systems designed to assist us from the first dives to the final bibliography.
One of the missions of contemporary artificial intelligence is to help us find, sort and digest information, especially with the help of large language models. These systems have come at a time when we most need to mana…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
The benefits of sharing sport-related data
In the digital age, data has become an invaluable tool in almost all areas of society, and the world of sport is no exception. The availability of data related to this field can have a positive impact on the promotion of health and wellbeing, as well as on the improvement of physical performance of…
Re3gistry: facilitating the semantic interoperability of data
The INSPIRE (Infrastructure for Spatial Information in Europe) Directive sets out the general rules for the establishment of an Infrastructure for Spatial Information in the European Community based on the Infrastructures of the Member States. Adopted by the European Parliament a…
Vinalod: The tool to make open datasets more accessible
Public administration is working to ensure access to open data, in order to empowering citizens in their right to information. Aligned with this objective, the European open data portal (data.europa.eu) references a large volume of data on a variety of topics.
However, although the data belong to di…
Data and digital transformation in the justice system
The Manifesto for a public data space has recently been published. The document raises the need to reinforce the importance of data in the current digital transformation process in this area. The document has been drawn up within the State Technical Committee of the Electronic Judicial Administratio…
Free tools to work on data quality issues
Ensuring data quality is an essential task for any open data initiative. Before publication, datasets need to be validated to check that they are free of errors, duplication, etc. In this way, their potential for re-use will grow.
Data quality is conditioned by many aspects. In this sense, the Aport…
Improving efficiency in the legal sector: LegalTech and data analytics
Digital transformation affects all sectors, from agriculture to tourism and education. Among its objectives is the optimization of processes, the improvement of the customer experience and even the promotion of new business models.
The legal sector is no exception, which is why in recent years…
Validation of the Royal Decree-Law on reuse of public sector information and open data
Why a Royal Decree-Law?
In the plenary session of the Congress of Deputies held on December 2, 2021, Royal Decree-Law 24/2021, of November 2, on the transposition of several European Union directives, including Directive (EU) 2019/1024 of the European Parliament and of the Council, of June 20, 2019,…
