11 posts found
The unique relevance of interoperability in the Data Regulation(Data Act)
One of the main objectives of Regulation (EU) of the European Parliament and of the Council of 13 December 2023 on harmonised rules for fair access to and use of data (Data Regulation) is to promote the development of interoperability criteria for data spaces, data processing services and smart cont…
The obligation to provide data to public bodies in exceptional situations in the Data Regulations (Data Act)
The recent Regulation (EU) 2023/2854 of the European Parliament and of the Council of 13 December 2023 on harmonised rules for fair access to and use of data (Data Act) introduces important new developments in European legislation to facilitate access to data generated by connected products and rela…
User access to data from connected products and related services in the new European Data Regulation ( Data Act)
The adoption of the Regulation (EU) of the European Parliament and of the Council of 13 December 2023 on harmonised rules for fair access to and use of data (Data Law) is an important step forward in the regulation of the European Union to facilitate data accessibility. This is an initiative already…
Challenges and uncertainties for the deployment of the Data Economy in Europe
Four years after the publication of the European Commission's Communication 'A Data Strategy', the European Commission has published a Communication on the European Commission's 'Data Strategy'A Data Strategy' (February 2020) (February 2020) - setting out the broad outlines of the broad outlines of…
European data regulation faces the challenge of a harmonized application that will boost data sharing
Two of the European Union's most relevant data regulations will soon articulate the legal contours that will delineate the development of the data economy in the coming years. The Data Governance Act (DGA) has been fully applicable since September 24, 2023, while the wording of the Data Act (DA) was…
Artificial Intelligence applied to the identification and classification of diseases detected by radiodiagnosis
In this post we have described step-by-step a data science exercise in which we try to train a deep learning model with a view to automatically classifying medical images of healthy and sick people.
Diagnostic imaging has been around for many years in the hospitals of develo…
Open image repositories for training AI models
Perhaps one of the most everyday uses of artificial intelligence that we can experience in our day-to-day lives is through interaction with artificial vision and object identification systems. From unlocking our smartphone to searching for images on the Internet. All these functionalities are possib…
Low coding tools for data analysis
The democratisation of technology in all areas is an unstoppable trend. With the spread of smartphones and Internet access, an increasing number of people can access high-tech products and services without having to resort to advanced knowledge or specialists. The world of data is no stranger to thi…
What is an interactive display? Here is an example
The visual representation of data helps our brain to digest large amounts of information quickly and easily. Interactive visualizations make it easier for non-experts to analyze complex situations represented as data.
As we introduced in our last post on this topic, graphical data visualization is a…
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…
