14 posts found
The importance of data training for public sector workers
There is no doubt that digital skills training is necessary today. Basic digital skills are essential to be able to interact in a society where technology already plays a cross-cutting role. In particular, it is important to know the basics of the technology for working with data.
In this context, p…
What data governance should look like in open source AI models
Open source artificial intelligence (AI) is an opportunity to democratise innovation and avoid the concentration of power in the technology industry. However, their development is highly dependent on the availability of high quality datasets and the implementation of robust data governance framework…
Vinalod: The tool to make open datasets more accessible
Public administration is working to ensure access to open data, in order to empowering citizens in their right to information. Aligned with this objective, the European open data portal (data.europa.eu) references a large volume of data on a variety of topics.
However, although the data belong to di…
Spain, one of countries that is an open data trendsetter
Like every other year, the EU Open Data Portal has just published the results of its report Open Data Maturity 2022. It is a study that assesses the maturity of European countries in the field of open data and it provides an overview of the good practices followed in Eu…
What are the main elements of a data space?
For a data space to function properly, it is necessary to have sufficient actors to cover a set of roles and a set of technological components. These elements enable a common governance framework to be established for secure data sharing, ensuring the sovereignty of the participants over their own d…
When to use each programming language in data science?
Python, R, SQL, JavaScript, C++, HTML... Nowadays we can find a multitude of programming languages that allow us to develop software programmes, applications, web pages, etc. Each one has unique characteristics that differentiate it from the rest and make it more appropriate for certain tasks. But h…
10 Popular natural language processing libraries
The advance of supercomputing and data analytics in fields as diverse as social networks or customer service is encouraging a part of artificial intelligence (AI) to focus on developing algorithms capable of processing and generating natural language.
To be able to carry out this task in the current…
10 Popular Data Analytics and Machine Learning Libraries
Programming libraries refer to the sets of code files that have been created to develop software in a simple way . Thanks to them, developers can avoid code duplication and minimize errors with greater agility and lower cost. There are many bookstores, focused on different activities. A few weeks ag…
11 libraries for creating data visualisations
Programming libraries are sets of code files that are used to develop software. Their purpose is to facilitate programming by providing common functionalities that have already been solved by other programmers.
Libraries are an essential component for developers to be able to program in a simple way…
The importance of master data management
Data has become the present and future, not only of private organizations, but also of the different public administrations. This is why the benefit derived from data sharing between the different administrations is evident. However, it is not uncommon to find that each one of them maintains its own…
