24 posts found
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…
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
What data governance should look like in open source AI models
Open source artificial intelligence (AI) is an opportunity to democratise innovation and avoid the concentration of power in the technology industry. However, their development is highly dependent on the availability of high quality datasets and the implementation of robust data governance framework…
How do you build an artificial intelligence model?
Artificial Intelligence (AI) is no longer a futuristic concept and has become a key tool in our daily lives. From movie or series recommendations on streaming platforms to virtual assistants like Alexa or Google Assistant on our devices, AI is everywhere. But how do you build an AI model? Despite wh…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
Data Sandboxes: Exploring the potential of open data in a secure environment
Data sandboxes are tools that provide us with environments to test new data-related practices and technologies, making them powerful instruments for managing and using data securely and effectively. These spaces are very useful in determining whether and under what conditions it is feasibl…
Global principles of AI journalism
General ethical frameworks
The absence of a common, unified, ethical framework for the use of artificial intelligence in the world is only apparent and, in a sense, a myth. There are a multitude of supranational charters, manuals and sets of standards that set out principles of ethical use, although…
Importance of data profiling, types and tools
What is data profiling?
Data profiling is the set of activities and processes aimed at determining the metadata about a particular dataset. This process, considered as an indispensable technique during exploratory data analysis, includes the application of different statistics with the main objectiv…
Artificial intelligence to improve interoperability in the European public sector
The European Union has placed the digital transformation of the public sector at the heart of its policy agenda. Through various initiatives under the Digital Decade policy programme, the EU aims to boost the efficiency of public services and provide a better experience for citizens.…
How to prepare a dataset for machine learning and análisis
In the process of analysing data and training machine learning models, it is essential to have an adequate dataset. Therefore, the questions arise: how should you prepare your datasets for machine learning and analytics, and how can you be confident that the data will lead to robust conclusions and…
