- Platform / Framework
- I-BiDaaS Consortium
I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution
The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.
- Platform / Framework
- Sirma AI (Ontotext)
HistoGrapher
Histographer is a software platform for building holistic solution integrating multimodal histopathology data.
- Platform / Framework
- I-BiDaaS Consortium
Specification of an end-to-end Big Data as-a-self-service platform
This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.
- Platform / Framework
- Cesare Cugnasco
Multidimensional Storage with Efficient Sampling (MuSES)
Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.
- Platform / Framework
- Bodypass
Blockchain network for exchanging 3D personal data extracted from medical images and body scanners
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.
- Platform / Framework
- DEEP-Hybrid-DataCloud
DEEPaaS - Deep Learning for everybody
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.
- Platform / Framework
- CLASS Consortium
CLASS -Edge an d Cloud Computation: A Highly distributed Software for Big Data Analytics
Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.
- Platform / Framework
- ELASTIC consortium
ELASTIC: A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems
Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.
- Platform / Framework
- Alessandro Checco
FashionBrain – novel shopping experience
The FashionBrain solution aims at combining data from different sources to support different fashion industry players by predicting upcoming fashion trends from social media as well as providing personalized recommendations and advanced fashion item search to customers.
- Platform / Framework
- Ricardo Vitorino
Ubiwhere Urban Platform
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 correlating i