Skip to content

Advancing Innovation in Data Management

To build a data-driven economy across Europe and create a significant competitive advantage for European industry, companies will have to address the challenges in the data engineering and management domain.

We are proud to partner with four top-class European institutions, and prominent research and industry organizations to bring Europe to the forefront of research and innovation in data science.

The Data Engineering for Data Science (DEDS) programme aims to develop new technological solutions for data management, involving new architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an organisation.

As domain expert, Euranova will bring its expertise to provide crucial use cases and datasets in which the proposed research can be grounded and validate the proposed solutions.

Euranova experts can help you achieve an end-to-end management of the full lifecycle of your data, from capture to exploitation by end-users, including data scientists To know more about what we can do for you, see our services.

More about DEDS:
DEDS started officially on March 1st, 2021. It is a 3-year doctoral programme jointly organised by the Université Libre de Bruxelles (Belgium), the Universitat Politècnica de Catalunya (Spain), Aalborg Universitet (Denmark), and the Athena Research and Innovation Centre (Greece). This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement.

Visit the website: https://deds.ulb.ac.be/

Share on linkedin
Share on twitter
Share on email

Releated Posts

Multimodal Classifier For Space Target Recognition

We propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders to embed the two modalities in a common latent space in order to exploit redundant and complementary information between the two types of data.
Read More

We Join The Stream Reasoning Workshop 2021

The research community at its best! This week, our research director Sabri Skhiri flew to Milan with other leaders in stream reasoning. They meet to push further efficient decision-making and context detection over rapidly changing data.
Read More