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The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

Histographer is a software platform for building holistic solution integrating multimodal histopathology data.

Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.

BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.

ABSTAT is an ontology-driven linked data profiling framework that aims to help users in an effortless understanding of the data.

The DataBio Machinery management solution is focused mainly on collecting telematic data (farm telemetry) from tractors (Zetor) and other farm  machinery to analyse and compare to other farm data.

Ubiwhere Urban Platform focus on  understanding how external factors (such as the weather, location of points of interest or the time of the year) affect the way people move, by analysing anonymised historical booking data (from public transportation and vehicle sharing systems) and cor