• 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.

[field_contact_email]
  • 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 Medical
  • Vincent Barnaud

Truata Anonymization Service

Onboarding a new data set : - analyze it and set anonymization processes - connect the Data owner IT with Truata platform - ingest the data and execute the planned anonymization steps - pass acceptance tests Periodically: - ingest the data and execute the planned anonymization steps Building a mo

[field_contact_email]
  • COVID-19 Medical
  • Arnaldo Maccarone

STAG4Covid-19

STAG4Covid-19 is able to semantically categorize texts according to a given categories taxonomy and to extract from the very text the relevant keywords including Named Entities (NE), i.e. health-related entities. We will use as categories the UMLS Concepts Unique Identifiers (CUIs).

[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]
  • COVID-19 Medical
  • Gonçalo Ribeiro

YData - Share sensitive information with privacy by design.

Synthetic data is artificially generated data that replicates the statistical components of real-world data without containing any identifiable information. It can be seen as a new form of anonymisation that is not traceable back to the original records or breakable using decryption mechanisms.

[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]

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