28 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…
10 principles for web development and web API design
Web API design is a fundamental discipline for the development of applications and services, facilitating the fluid exchange of data between different systems. In the context of open data platforms, APIs are particularly important as they allow users to access the information they need automatically…
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…
High-value meteorological datasets
The cross-cutting nature of open data on weather and climate data has favoured its use in areas as diverse as precision agriculture, fire prevention or the precision forestry. But the relevance of these datasets lies not only in their direct applicability across multiple industries, but also in thei…
Overcoming Data Publishing Challenges with Linked Data Event Streams (LDES)
What challenges do data publishers face?
In today's digital age, information is a strategic asset that drives innovation, transparency and collaboration in all sectors of society. This is why data publishing initiatives have developed enormously as a key mechanism for unlocking the potential of this…
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…
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…
Open data and climate change: essential information for a sustainable future
In recent years, climate change has become one of the most pressing challenges of our time because, according to the main reports of different international institutions, it is accelerating beyond the most pessimistic forecasts. Rising global temperatures, melting glaciers, rising sea levels and the…
