Search Solutions

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.

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 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).

Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.

Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).

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.

The EW-Shopp toolkit aims at helping companies operating in eCommerce, Retail and Marketing industries improve their efficiency and competitiveness by supporting weather and event-based integration and analytics of data collected by companies during the shopper’s journe

The EBG “company data marketplace” ia a place where company data providers can advertise their data, and data consumers can search, analyse, and compare data from the data providers, all in a unified way.

The Tender Discovery Service (TDS) aims at enabling customers to easily and quickly identify pertinent open public administration tenders, tailored to customer interests, rich company profiles and capabilities.

ABSTAT is an ontology-driven linked data profiling framework that aims to help users in an effortless understanding of the data.