447 posts found
Edge AI: bringing intelligence closer to the source of information
For years, data management followed a centralized logic: collecting information, transporting it, storing it and processing it in the same place. The cloud concentrated a large part of the business processing thanks to its storage and computing capacity. However, the evolution of connected systems i…
From the swamp to the lake: how to prevent your data from becoming a swamp
Imagine a building with no maintenance. At first it works perfectly: the doors open, the plumbing flows, everything is in order. Time passes and no one takes care of the little things: a leaky pipe, a window that doesn't close properly, papers that accumulate in the corridors. Five years later, the…
AI as a universal co-pilot
The use of generative AI started out as visible, targeted, and intentional. During the first years, using it was a conscious decision that required opening a specific tool, such as ChatGPT or Midjourney. These tools occupied their own marked and recognizable space, separate from the rest o…
Open data to enjoy the solar eclipse on August 12
August 12, 2026 is marked on the calendar of thousands of people around the world and especially in Spain. The solar eclipse that will occur that day will cross the Iberian Peninsula from west to east, covering territories of several autonomous communities: Galicia, Asturias, Castilla y León, Commun…
What is a DGGS and why does it matter in data governance?
Imagine that you have to cross-reference air quality data with municipal register, satellite images and a map of flood zones. Each source arrives in its own reference system, its own grid, its own format, and its own scale. Before you can analyze anything, you spend hours—sometimes weeks—redesigning…
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…
