Multidimensional Storage with Efficient Sampling (MuSES)
Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.
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.
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.
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.
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).
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.
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
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).
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: