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The RapidMiner Streaming extension allows user to easily build streaming processes in a guided, visual workflow designer.

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

This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.

This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY[2], a Python-based toolbox for

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

Private blockchain network that includes a metrics catalogue. Data customers are connected to data providers. Data costumers can configure SQL queries and obtain individual anonymised data or aggregated data.

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.

Machine learning / AI driven service desk to optimize Railway service operations: LexaTexer offers predictive analytics that help corporations organise decision-making by analysing documents with machine learning technology.

IRI (Industrial Robots Insight), is a predictive maintenance and energy control box for industrial robots, that solves all these problems to offer a manufacturer agnostic solution, open, which increases your savings and guarantee your production, without putting your data at risk.