438 posts found
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…
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´…
