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AI and Open Data: a crucial combination
AI and data: a crucial combination Artificial Intelligence (AI) technology has the capacity to extract deeper insights from datasets than other techniques. Examples of AI are: speech recognition, natural language, processing, chatbots or voice bots. To get AI applications to work, big sets of high quality (open) data are necessary. But what requirements does this data have to meet? To answer this question, we need to look more closely at what requirements data need to have to enable successful AI applications. Use of Open Data for AI Access to (open) data can unlock the potential of AI
Protecting data and opening data
What is the background of the GDPR? As technologies develop and more and more data are produced and collected, several initiatives seize the potential of the data by re-using it to gain insight or provide new products and services. Mobile applications can, for example, tell users when it will rain in which area by linked weather and geo data. Websites on public procurement provide inside on public spending and decision making. Others combine bus and train schedules and routes to improve public transport and smart city initiatives. Most of the data that is re-used is Open Data not including
Leveraging AI in the public sector with open data
Using AI in the public sector is possible, but how? Artificial Intelligence (AI) software has been called the most disruptive force in technology and it offers an unprecedented opportunity to transform both the private- and public services sector. It is a priority for the European Union and the European Commission recently presented a series of measure to boost Europe's competitiveness in this field. In the public sector, AI applications are still only used to a small extent though. A key question is: how can the potential of AI applications in the public sector be unleashed? Open Data can
Cultural institutions and cultural Open Data
The rise of cultural Open Data Cultural institutions possess a lot of valuable information. Examples are the collections that cultural institutions manage and the available knowledge about these collections. New technologies have made it possible to expose cultural heritage on digital platforms and in the last few years, an increasing number of cultural institutions digitised their collections. Digitised material from cultural institutions can be re-used to develop, among others: learning and educational content, documentaries, animations and design tools. However, re-use of data is only
The economic benefits of Open Data
Europe is making considerable progress in reaching Open Data maturity and is fast-forwarding its Open Data transformation. Recent studies show that higher economic benefits are expected from Open Data at both macroeconomic and microeconomic levels. Data holds a tremendous potential for societies and economies. When disclosed, data can stimulate economic growth, better decision-making, more transparency and efficiency of governments, as well as higher quality of life and more inclusive societies. Numerous studies undertaken across Europe and the globe have measured the impact of data for
Use Open Data to explore Italy's nature!
Are you a nature lover? Then you should explore the benefits Open Data can bring you. Did you for instance know that the European Data Portal can help you to find - or to avoid - brown bears ('Orso Marsicano') in the region of Lazio, Italy? This dataset presents the events of bear encounters between the '90s and 2015, and shows these encounters on a 2 by 2 kilometer grid. Documenting these encounters is important for the territorial management aimed at preserving the population of the brown bear. The picture below shows that in Lazio, bear encounters primarily occur in the mountains in the
Open Transport Data
Not all Open Data has the same potential for re-use. A total of thirteen data categories can be found on the European Data Portal, but certain data categories are more likely to be re-used than others. On a European level, the European Commission has identified five thematic data domains that are expected to represent those with the highest demand from re-users across the EU: geospatial data, earth observation data and environment, transport data, statistics and company data. In this article, we will further explore the transport domain. The transport domain is a very 'tangible' domain, with
Our Interactive eLearning Modules on Open Data
Through its series of eLearning modules as well as interactive Open Data materials, the European Data Portal has put together a comprehensive companion for all Open Data 'aficionados', that covers the main aspects of Open Data - from its definition and benefits, to choosing the right data format and licence, cleaning up data and sustainability of Open Data. Our experts have selected 16 short modules designed for all those interested in discovering more about Open Data. The modules suit all levels from beginners to experts. The eLearning programme introduces users to every aspect of Open Data
Open Data in the European Union Neighbourhood
Understood as the 'new oil' that makes societies and economies run more smoothly, data remains until now a resource whose potential is not tapped to its fullest. Numerous studies have measured the impact of data for economic, political and societal development, with several others pinpointing the importance of Open Data for economic growth. Open Data is seen as a driver for economic growth and an enabler for transparency and accountability, as well as innovation and knowledge. The EU Neighbourhood is keen on fast-forwarding on Open Data. However capacity building and awareness raising are
Enabling Smart Rural: The Open Data Gap
Can "Rural" learn from "Urban"? Cities and urban areas have become avid users and sources of data, largely under the catch-all and loosely defined term smart cities. Open data is considered a "defining element" of smart cities because data is vital for cities and citizens. Due to its significance, projects such as the Urban Data Platform utilise open data with the aim of speeding up the adoption of common open urban data platforms, ensuring that "300 million European citizens are served by cities with competent urban data platforms, by 2025". This focus on cities makes sense: They have a dense