• 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.

[field_contact_email]
  • 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.

[field_contact_email]
  • Platform / Framework
  • Instituto Tecnológico de Informática (ITI)

Data Hub

A center for experimentation in Big Data, Artificial Intelligence and High Performance Computing that will allow companies to have a testing enviornment for their advanced data analysis applications prior to the launch of a product to the market. The objective of this experimentation center is to

[field_contact_email]
  • Platform / Framework
  • Instituto Tecnológico de Informática (ITI)

Radiatus (Big Data Analytics as a Service)

Radiatus platform main goal is to provide to the end-user a BDAaaS (Big Data Analytics as a Service) solution in the Cloud. This platform aims to allow the end-user to focus on the data analysis processing, and provides the necessary level of abstraction about the details of configuration, services, adaptability and deployment, making it transparent the selection of the IaaS (Infrastructure as a Service).

[field_contact_email]
  • Platform / Framework
  • ATOS

QROWD Data Acquisition Framework

The QROWD Data Acquisition Framework (QROWD DAF) is an Apache NiFi-based platform for data acquisition for Smart Cities. It is integrated into a FIWARE-compliant environment, meaning that it complies with the main principle of FIWARE:

[field_contact_email]