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The Web emerged more than 30 years ago as an open, participatory and inclusive network that encouraged access to and reuse of knowledge through a spirit of collaboration and constant experimentation. This is precisely the same concept and philosophy that...

Data anonymisation is a complex process and often prone to misunderstandings. In the worst case, these misconceptions lead to data leakage, directly affecting the guarantees that should be offered to users regarding their privacy. Anonymisation aims...

As in other industries, digital transformation is helping to change the way the agriculture and forestry sector operates. Combining technologies such as geolocation or artificial intelligence and using open datasets to develop new precision tools is...

The demand for professionals with skills related to data analytics continues to grow and it is already estimated that just the industry in Spain would need more than 90,000 data and artificial intelligence professionals to boost the economy. Training...

The Manifesto for a public data space has recently been published. The document raises the need to reinforce the importance of data in the current digital transformation process in this area. The document has been drawn up within the State Technical...

Many organisations and administrations have found in open data a transformational pillar on which to exercise the strategy towards the data culture. Having access to data in a structured way is the basis for new business models, as well as for new...

For a data space to function properly, it is necessary to have sufficient actors to cover a set of roles and a set of technological components. These elements enable a common governance framework to be established for secure data sharing, ensuring the...

Perhaps one of the most everyday uses of artificial intelligence that we can experience in our day-to-day lives is through interaction with artificial vision and object identification systems. From unlocking our smartphone to searching for images on the...

Ensuring data quality is an essential task for any open data initiative. Before publication, datasets need to be validated to check that they are free of errors, duplication, etc. In this way, their potential for re-use will grow. Data quality is...

16.5 billion euros. These are the revenues that artificial intelligence (AI) and data are expected to generate in Spanish industry by 2025, according to what was announced last February at the  IndesIA forum, the association for the application of...