15 posts found
Sustainable artificial intelligence: how to minimise the environmental impact of AI
Artificial intelligence (AI) has become a key technology in multiple sectors, from health and education to industry and environmental management, not to mention the number of citizens who create texts, images or videos with this technology for their own personal enjoyment. It is estimated that in Sp…
How Copernicus geospatial data drives innovation in the energy sector
Geospatial data has driven improvements in a number of sectors, and energy is no exception. This data allows us to better understand our environment in order to promote sustainability, innovation and informed decision-making.
One of the main providers of open geospatial data is Copernicus, the Europ…
Importance of data profiling, types and tools
What is data profiling?
Data profiling is the set of activities and processes aimed at determining the metadata about a particular dataset. This process, considered as an indispensable technique during exploratory data analysis, includes the application of different statistics with the main objectiv…
Open data to drive energy efficiency and sustainability
The promotion of energy efficiency and sustainability is one of the priorities of the European Union and Spain, as reflected in the European Green Pact. The availability of open data related to energy production, distribution and consumption allows governments, businesses and citizens to access…
How to measure carbon footprint using open data
The carbon footprint is a key indicator for understanding the environmental impact of our actions. It measures the amount of greenhouse gas emissions released into the atmosphere as a result of human activities, most notably the burning of fossil fuels such as oil, natural gas and coal. These gases,…
Data policies that foster innovation
The importance of data in today's society and economy is no longer in doubt. Data is now present in virtually every aspect of our lives. This is why more and more countries have been incorporating specific data-related regulations into their policies: whether they relate to personal, busin…
Segment Anything Model: Key Insights from Meta's Segmentation Model Applied to Spatial Data
Image segmentation is a method that divides a digital image into subgroups (segments) to reduce its complexity, thus facilitating its processing or analysis. The purpose of segmentation is to assign labels to pixels to identify objects, people, or other elements in the image.
Image segmentation is c…
Open Data for Sustainable City Development
Open data is a valuable tool for making informed decisions that encourage the success of a process and enhance its effectiveness. From a sectorial perspective, open data provides relevant information about the legal, educational, or health sectors. All of these, along with many other areas, utilize…
Open data as a tool for education and training
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 professionals who can fill this gap is a major ch…
This is MarIA, the first artificial intelligence in the Spanish language
After several months of tests and different types of training, the first massive Artificial Intelligence system in the Spanish language is capable of generating its own texts and summarising existing ones. MarIA is a project that has been promoted by the Secretary of State for Digitalisation and Art…
