434 posts found
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…
Recommendations for addressing data governance
Data governance is a central element of any digital strategy. Governments, companies, social organizations and international institutions agree that, without clear rules on how data is collected, managed, shared and used, it is impossible to take advantage of its full value.
This article seeks to cl…
Visualize geographic open data: format and tools
Before performing a data visualization, it is important to understand two issues. On the one hand, what exactly you have in your hands, that is, the type of data, its format and other relevant characteristics; and, on the other hand, what is to be visualized, the objective of the graphic repres…
Open data as civic infrastructure in the face of climate change
Every time an asthmatic person checks the level of suspended particles before going for a run, or when a city council decides to close a playground due to a pollution episode, there is open data behind that decision. Open environmental and climate data – on air quality, water, biodiversity or extrem…
Guides of the Spanish Data Protection Agency (AEPD) for innovation and digital privacy
The Spanish Data Protection Agency (AEPD), through its own Innovation and Technology section, carries out an essential didactic task by providing a documentary corpus that translates the legal obligations of the General Data Protection Regulation (GDPR) into specific technological realitie…
Interoperability: the invisible art of connecting data, systems, and People
There's an idea that is repeated in almost any data initiative: "if we connect different sources, we'll get more value". And it is usually true. The nuance is that value appears when we can combine data without friction, without misunderstandings and without surprises. The Public Sector Data reuser´…
APIs in Public Administrations: which ones are there and how to use them
The European High-Value Datasets (HVD) regulation, established by Implementing Regulation (EU) 2023/138, consolidates the role of APIs as an essential infrastructure for the reuse of public information, making their availability a legal obligation and not just a good technological practice.
Since 9…
Best practices for exploring and analyzing data with AI without programming
"I'm going to upload a CSV file for you. I want you to analyze it and summarize the most relevant conclusions you can draw from the data". A few years ago, data analysis was the territory of those who knew how to write code and use complex technical environments, and such a request would have requir…
Data from the unknown: unique challenges of universe data
We live in an era where science is increasingly reliant on data. From urban planning to the climate transition, data governance has become a structural pillar of evidence-based decision-making. However, there is one area where the traditional principles of data management, validation and control are…
Visualizing public data: what tools exist and what they are for
Data visualization is not a recent discipline. For centuries, people have used graphs , maps, and diagrams to represent complex information. Classic examples such as the statistical maps of the nineteenth century or the graphs used in the press show that the need to "see" the data in order to u…
