23 posts found
The rise of predictive commerce: open data to anticipate needs
In a world where immediacy is becoming increasingly important, predictive commerce has become a key tool for anticipating consumer behaviors, optimizing decisions, and offering personalized experiences. It's no longer just about reacting to the customer's needs, it's about predicting what they…
How to ensure the authenticity of satellite imagery
Synthetic images are visual representations artificially generated by algorithms and computational techniques, rather than being captured directly from reality with cameras or sensors. They are produced from different methods, among which the antagonistic generative networks (Generative Adversarial…
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…
Using Pandas for quality error reduction in data repositories
There is no doubt that data has become the strategic asset for organisations. Today, it is essential to ensure that decisions are based on quality data, regardless of the alignment they follow: data analytics, artificial intelligence or reporting. However, ensuring data repositories with high levels…
Understanding Word Embeddings: how machines learn the meaning of words
Natural language processing (NLP) is a branch of artificial intelligence that allows machines to understand and manipulate human language. At the core of many modern applications, such as virtual assistants, machine translation and chatbots, are word embeddings. But what exactly are they and why are…
Safe rooms in Spain: What kind of data can researchers access?
There are a number of data that are very valuable, but which by their nature cannot be opened to the public at large. These are confidential data which are subject to third party rights that prevent them from being made available through open platforms, but which may be essential for research that p…
The agreement to provide statistical data to researchers, in the context of the Data Governance Regulation
The European Union has devised a fundamental strategy to ensure accessible and reusable data for research, innovation and entrepreneurship. Strategic decisions have been made both in a regulatory and in a material sense to build spaces for data sharing and to foster the emergence of intermediar…
How to measure carbon footprint using open data
The carbon footprint is a key indicator for understanding the environmental impact of our actions. It measures the amount of greenhouse gas emissions released into the atmosphere as a result of human activities, most notably the burning of fossil fuels such as oil, natural gas and coal. These gases,…
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…
Open science and information systems for research
The European Open Science Cloud (EOSC) is a European Union initiative that aims to promote open science through the creation of an open, collaborative and sustainabledigital research infrastructure. EOSC's main objective is to provide European researchers with easier access to the data, tools and re…
