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

Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively produced data, such as mobility traces, in efficient and scalable ways is imperative.

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

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

Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads.

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.

A bundle of services and tools that enable the design, execution and monitoring of the data analytics workflows.

A bundle of services that enable the security-by-design implementation on the ICARUS platform.

Insurance in the agri-food sector deals with the increasing demand for agricultural insurance products and is expected to play a vital role in the forthcoming years as a tool for risk management.

SLIPO is the first comprehensive cloud-based platform for the quality-assured and scalable integration of Big POI data assets. SLIPO reduces the effort, time, and complexity of POI data integration, providing POIs of increased size, coverage, richness and timeliness at a fraction of the cost.