11 posts found
PET technologies: how to use protected data in a privacy-sensitive way
As organisations seek to harness the potential of data to make decisions, innovate and improve their services, a fundamental challenge arises: how can data collection and use be balanced with respect for privacy? PET technologies attempt to address this challenge. In this post, we will explore what…
Aplicación de la Especificación UNE 0079:2023 de gestión de calidad a los datos abiertos
Continuamos en esta segunda entrega de la serie de artículos con la aplicación de las especificaciones UNE. Antes de nada, recordemos que las Especificaciones UNE 0077, UNE 0078 y UNE 0079 introducen las buenas prácticas en el gobierno del dato, gestión del dato y gestión de calidad del dato con una…
Aplicación de las Especificación UNE 0078: 2023 a los datos abiertos
Este artículo constituye la tercera y última entrega de la serie de artículos dedicados dedicado a la aplicación de las especificaciones UNE de Gobierno, Gestión y Gestión de la calidad del dato a la publicación de datos abiertos. Recordemos que lo estamos realizando, aplicándolo al caso ficticio de…
Legal implications of open data and re-use of public sector information for ChatGPT
The emergence of artificial intelligence (AI), and ChatGPT in particular, has become one of the main topics of debate in recent months. This tool has even eclipsed other emerging technologies that had gained prominence in a wide range of fields (legal, economic, social and cultural). This is t…
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…
Technical Standards to achieve Data Quality
Transforming data into knowledge has become one of the main objectives facing both public and private organizations today. But, in order to achieve this, it is necessary to start from the premise that the data processed is governed and of quality.
In this sense, the Spanish Association for Standardi…
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…
R and Python Communities for Developer
R vs Python? Better R and Python: Two languages, two styles. A common goal: to domesticate the data.
If data science were a sport, R and Python would be the two best teams in the league for several seasons. If you are a Data Scientist or are close to this scientific-technical discipline, the two pro…
