• 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]
  • COVID-19 Logistics
  • Gonzalo Barranco

COVID-19 mortality prediction tool: spatial epidemiological approach using Serverless Big Data Analytics.

No scientific answer explains spatial variability underlying spread and mortality of this pandemic.

[field_contact_email]
  • COVID-19 Medical
  • Oscar Corcho

DRUGS4COVID

We have annotated the corpus (full papers and their sentences) with their ATC codes, and made this resource available as an easy to query repository. Besides, we are applying probabilistic topic modelling and clustering techniques to cluster drugs, symptoms, diseases, etc.

[field_contact_email]
  • 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.

[field_contact_email]
  • Platform / Framework
  • Germán Herrero

AGORA - Unlocking data-driven business potentials for cross-sectorial industries

AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM).

[field_contact_email]
  • 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.

[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]
  • Component / Service / App
  • Instituto Tecnológico de Informática (ITI)

Digital Twin for Industry 4.0

The objective of the Digital Twin for the Industry 4.0 product is the virtual representation of real devices and processes, which is linked to its physical counterparts not only through mechanic and geometric parameters, but also by their behaviour.

[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]

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