Digital transformation is a complex process that involves recalibrating and optimizing business processes and models, how to interact with partners along with improving their skills. Digital transformation involves a complex analysis of data, modeling organizational processes in order to optimize workflows and quality services.
In recent years, digital technologies have transformed the global economy and society in its entirety, having had a major impact on all sectors of activity and daily life. Data is at the heart of this transformation, as data-driven innovation will bring enormous benefits to citizens.
Intelligent data refers to concise data, resulting from the interaction and analysis of various data configurations in a meaningful manner, sorted by relevance, in order to turn data and knowledge into usable information in decision making.
The technological leaps in Artificial Intelligence, machine learning, big data and business intelligence have generated a vast amount of data and their proper management is now a central point of the information society.
Nowadays, the multitude of technical possibilities for data provision leads to a very heterogeneous supply of data, as well as to different levels of data usage. In order to facilitate access to and use of open government data, a harmonized and standardized technical implementation is needed - especially with regard to the formats and systems used.
The development of data usability and accessibility can be assisted by promoting the adoption of internationally recognized technical and security standards for data formatting, structuring and sharing.
The team carries out research activities in the following thematic areas:
Relevant RDI projects