48 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…
Data on the banking sector: sources of access
Access to financial and banking data is revolutionising the sector, promoting transparency, financial inclusion and innovation in economic services. However, the management of this data faces regulatory challenges in balancing openness with security and privacy.
For this reason, there are different…
DGT datasets to help improve traffic and road safety
The General direction of traffic (DGT in its Spanish acronym) is the body responsible for ensuring safety and fluidity on the roads in Spain. Among other activities, it is responsible for the issuing of permits, traffic control and the management of infringements.
As a result of its activity, a larg…
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 data in local authorities: priorities and highlighted datasets
Local public bodies, such as county councils and municipalities, play a crucial role in opening their data to the public. Making data available to citizens not only builds trust in institutions, but also drives innovation, facilitates citizen participation and promotes informed decision-making. Thro…
The challenge of boosting the Data Economy by deploying the EU's digital diplomacy at the global level
The growing importance of data goes beyond the economic and social spheres at state level to a multinational dimension that raises the challenges, opportunities, threats and uncertainties surrounding the development of the Data Economy to a global scale. In the case of the European Union, the issue…
Challenges and uncertainties for the deployment of the Data Economy in Europe
Four years after the publication of the European Commission's Communication 'A Data Strategy', the European Commission has published a Communication on the European Commission's 'Data Strategy'A Data Strategy' (February 2020) (February 2020) - setting out the broad outlines of the broad outlines of…
