21 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…
Benefits and opportunities of public initiatives for open data visualisation
Imagine you want to know how many terraces there are in your neighbourhood, how the pollen levels in the air you breathe every day are evolving or whether recycling in your city is working well. All this information exists in your municipality's databases, but it sits in spreadsheets and technical d…
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…
Big Data Test Infrastructure: A free environment for public administrations to experiment with open data
The Big Data Test Infrastructure (BDTI) is a tool funded by the European Digital Agenda, which enables public administrations to perform analysis with open data and open source tools in order to drive innovation.
This free-to-use, cloud-based tool was created in 2019 to accelerate d…
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…
The relevance of open data for medical research: The Case of FISABIO Foundation
In the digital age, technological advancements have transformed the field of medical research. One of the factors contributing to technological development in this area is data, particularly open data. The openness and availability of information obtained from health research provide multiple benefi…
