6 posts found
Data documentation: Datasheets for datasets
16.5 billion euros. These are the revenues that artificial intelligence (AI) and data are expected to generate in Spanish industry by 2025, according to what was announced last February at the IndesIA forum, the association for the application of artificial intelligence in industry. AI is alre…
Collecting and analysing data to improve humanitarian assistance and restore damage during the Ukrainian war
On 24 February Europe entered a scenario that not even the data could have predicted: Russia invaded Ukraine, unleashing the first war on European soil so far in the 21st century.
Almost five months later, on 26 September, the United Nations (UN) published its official figures: 4,889 dead and 6,263…
Kaggle and other alternative platforms for learning data science
The profession of the data scientist is booming. According to him 2020 LinkedIn Emerging Jobs Report, the demand for data science specialists grew 46.8% compared to the previous year, being especially demanded in sectors such as banking, telecommunications or research. The report also indicates…
Examples of uncommon open data repositories
Beyond public administrations, libraries, museums and cultural foundations data, the interest in open data knows no borders. We invite you to discover it in this post.
Normally, the concept of open data is associated with those repositories managed by public administrations, foundations and cultural…
How open data can help in the refugee crisis
According to the United Nations Agency for Refugees (UNHCR), we are currently witnessing the highest levels of displacement of people registered in recent history. In 2019, it is estimated that more than 70 million people have been forced to leave their homes, including 25.9 million legal refugees,…
Play to be the best with data
Publicly competing with your colleagues to solve a complex problem based on data is an irresistible motivation for some people. Almost as tempting as gaining relevance in a field of expertise as exciting and lucrative as data science.
Public competitions to solve complex problems, whose raw material…
