443 posts found
¿Qué es un DGGS y por qué importa en el gobierno del dato?
Imagina que tienes que cruzar datos de calidad del aire con padrón municipal, imágenes de satélite y un mapa de zonas inundables. Cada fuente llega en su propio sistema de referencia, su propia rejilla, su propio formato y su propia escala. Antes de poder analizar nada, dedicas horas —a veces semana…
Reporting with impact on the current and future state of open data
The growing demand for digital skills and the development of generative artificial intelligence are redefining the role of open data in the economy and society. This rapid expansion brings with it needs and questions in terms of regulation, governance, interoperability, equity and sustaina…
European data labs: from available data to AI-ready data
For years, the debate on data reuse has focused mainly on publishing processes, i.e. how to expose more and better datasets from provider entities. On the other hand, support for those who must identify, understand, combine and convert them into value-added products or services has often taken a bac…
Projects that reuse open data and AI to solve environmental challenges
Can an algorithm anticipate a flood or help a farmer better irrigate their crops? The answer is yes, and there are eight teams in Latin America that are already proving it.
Climate change is not a problem of the future. It is a reality that today displaces families, destroys crops, collapses infrast…
How to protect personal data: regulations and frameworks to facilitate compliance
People have always been leaving information in their wake, but digitalisation has increased the risks. In the physical world, the amount of personal data we provide is limited and more visible, since its circulation is limited by material barriers. With the expansion of the digital environment, that…
Mechanisms for monitoring Artificial Intelligence systems: Human in the Loop, Human on the Loop and Human in Command
Artificial intelligence is rapidly changing the way we make personal and professional decisions, the way we manage the services provided by our companies and the criteria with which we process information in our day-to-day lives. Currently, we already have systems capable of helping t…
Data governance organizational structures for AI
In recent years, artificial intelligence has gone from being an emerging technology to becoming an everyday reality in public administrations, companies and organizations of all kinds. There is talk of systems that predict health demand, optimize transport routes or detect anomalies in pub…
The proposal for the Digital Omnibus Regulation: the vision of the European data protection authorities
One of the main objectives of the renewed European Data Strategy is to overcome the current regulatory fragmentation by proposing a new regulation colloquially called the Digital Omnibus Regulation. The aim is to consolidate and rationalise a large part of the data regulations in a s…
GeoBIM: where geospatial data and BIM data go hand in hand
Imagine that you are an urban planning technician and you have an application for a building permit on your table. You have the building plan in one system, the cadastral data in another, the urban planning regulations in a PDF and the map of protected areas in a different viewer. Each ch…
The universalization of AI: when creating artificial intelligence is no longer the work of experts
AutoML, augmented analytics, and the generative explosion have opened the door. The question is whether we are prepared for what comes through it.
For decades, artificial intelligence was a limited territory. Building a machine learning model required deep statistical knowledge, mastery of spe…
