20 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…
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…
Open geographic data applications of the National Centre for Geographic Information (NICHD)
The National Centre for Geographic Information publishes open geospatial data from the National Cartographic System, the National Geographic Institute and other organisations through web applications and mobile applications to facilitate access to and consultation of geographic data by citizens.
Geo…
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…
Segment Anything Model: Key Insights from Meta's Segmentation Model Applied to Spatial Data
Image segmentation is a method that divides a digital image into subgroups (segments) to reduce its complexity, thus facilitating its processing or analysis. The purpose of segmentation is to assign labels to pixels to identify objects, people, or other elements in the image.
Image segmentation is c…
European Webinars: Monitoring Climate Change and Digital Development with Open Data
The "Stories of Use Cases" series, organized by the European Open Data portal (data.europe.eu), is a collection of online events focused on the use of open data to contribute to common European Union objectives such as consolidating democracy, boosting the economy, combating climate change, and driv…
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…
