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When to use each programming language in data science?
14-09-2022
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...
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Chatbots or virtual assistants in Public Administrations to democratize the use of open data
16-08-2022
According to the latest analysis conducted by Gartner in September 2021, on Artificial Intelligence trends, Chatbots are one of the technologies that are closest to deliver effective productivity in less than 2 years. Figure 1, extracted from this report...
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How are we addressing the shortage in professional competencies for working with data?
11-01-2022
Over the last decade we have seen how national and international institutions, as well as national governments and business associations themselves have been warning about the shortage of technological profiles and the threat this poses to innovation and...
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Kaggle and other alternative platforms for learning data science
16-09-2021
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,...
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3 developer communities that reuse data
02-02-2021
The world of technology and data is constantly evolving. Keeping up with the latest developments and trends can be a difficult task. Therefore, spaces for dialogue where knowledge, doubts and recommendations can be shared are important. What are...
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How do I know if my prediction model is really good?
26-01-2021
A few weeks ago, we told you about the different types of machine learning through a series of examples, and we analysed how to choose one or the other based on our objectives and the datasets available to train the algorithm. Now let's assume that we...
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Play to be the best with data
31-01-2019
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...
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Artificial intelligence impact on business value chain
21-08-2018
The commercial adoption of any new technology and, therefore, its incorporation into the business value chain follows a cycle that can be moulded in different ways. One of the best known models is the Gartner hype cycle. With regard to artificial...
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The professionals of Data Science teams
05-06-2018
In recent years we have been discovering new field to apply data science, as the solution of old problems that we can now solve thanks to the new techniques and methodologies that are available. Data science is being configured as a key capability for...
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Data Science, machine learning and deep learning
05-04-2018
Data science is an interdisciplinary field that seeks to extract actuable knowledge from datasets, structured in databases or unstructured as texts, audios or videos. Thanks to the application of new techniques, data science is allowing for answering...