391 posts found
The data sphere we live in: the interconnected data system
As technology and connectivity have advanced in recent years, we have entered a new era in which data never sleeps and the amount of data circulating is greater than ever. Today, we could say that we live enclosed in a sphere surrounded by data and this has made us more and more dependent on it. On…
How to prepare a dataset for machine learning and análisis
In the process of analysing data and training machine learning models, it is essential to have an adequate dataset. Therefore, the questions arise: how should you prepare your datasets for machine learning and analytics, and how can you be confident that the data will lead to robust conclusions and…
A people-centred approach to data
As more of our daily lives take place online, and as the importance and value of personal data increases in our society, standards protecting the universal and fundamental right to privacy, security and privacy - backed by frameworks such as the Universal Declaration of Human Rights or the European…
FAIR principles: the secret of the data wizards.
Books are an inexhaustible source of knowledge and experiences lived by others before us, which we can reuse to move forward in our lives. Libraries, therefore, are places where readers looking for books, borrow them, and once they have used them and extracted from them what they need, return them.…
Hot OSM: Collaborative mapping to coordinate emergency response
The humanitarian crisis following the earthquake in Haiti in 2010 was the starting point for a voluntary initiative to create maps to identify the level of damage and vulnerability by areas, and thus to coordinate emergency teams. Since then, the collaborative mapping project known as Hot OSM (OpenS…
Chat GPT-3 API The Gateway to Integrations
We continue with the series of posts about Chat GPT-3. The expectation raised by the conversational system more than justifies the publication of several articles about its features and applications. In this post, we take a closer look at one of the latest news published by openAI related to Chat GP…
Initiatives for training machine learning models with open data
Behind a voice-enabled virtual assistant, a movie recommendation on a streaming platform, or the development of some COVID-19 vaccines, there are machine learning models. This branch of artificial intelligence enables systems to learn and improve their performance.
Machine learning (ML) is one of th…
UNE specifications - Government, management, and data quality
Motivation
According to the European Data Proposal Law, data is a fundamental component of the digital economy and an essential resource for ensuring ecological and digital transitions. In recent years, the volume of data generated by humans and machines has experienced an exponential increase. It i…
Legal implications of data spaces
The European Data Strategy envisages, among other measures, the implementation of a series of sectoral data spaces, in strategic areas and areas of particular public interest, with the aim of facilitating the "availability of large data repositories in these sectors, together with the necessary tool…
Cloud federations and data spaces: Get to know the Simpl project
The European Commission's 'European Data Strategy' states that the creation of a single market for shared data is key. In this strategy, the Commission has set as one of its main objectives the promotion of a data economy in line with European values of self-determination in data sharing (sovereignt…
