63 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…
How Google, Moovit and Citymapper reuse open mobility data
Many people use apps to get around in their daily lives. Apps such as Google Maps, Moovit or CityMapper provide the fastest and most efficient route to a destination. However, what many users are unaware of is that behind these platforms lies a valuable source of information: open data. By reusing p…
Private company data sharing initiatives: success stories
In today's digital age, data sharing and opendatahave emerged as key pillars for innovation, transparency and economic development. A number of companies and organisations around the world are adopting these approaches to foster open access to information and enhance data-driven decision making. Bel…
Data intermediaries and their role in the Data Governance Act
Data is a key part of Europe''s digital economy. This is recognised in the Data Strategy, which aims to create a single market that allows free movement of data in order to foster digital transformation and technological innovation. However, achieving this goal involves overcoming a number of obstac…
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…
Data citation, a practice that favours the re-use of data
We are living in a historic moment in which data is a key asset, on which many small and large decisions of companies, public bodies, social entities and citizens depend every day. It is therefore important to know where each piece of information comes from, to ensure that the issues that affect our…
