CS GROUP - FRANCE

Coordination and demonstration embracing all areas of IP4 and targets aiming to assist support ensure and promote a common technical approach across the IP4 to allow integrated and coherent Technical Demonstrations as outlined on Shift2Rail master plan. Te objective will be achieved through different activities involving and promoting the collaborative participation of associated projects (for members of Shit2Rail and from open calls) and the partners involved, through the close technical interface with the different projects and the coordination of the integration activities activities to support and achieve consistency and convergence amongst the different projects, feeding a reliable set of technical packages.

MaaSive project will be part of Shift2Rail (S2R), the first rail joint technology initiative focused on accelerating the integration of new and advanced technologies into innovative rail product solutions. It is framed within the innovation Program 4 (IP4), which addresses “IT solutions for attractive Railway services”. MaaSive continues and complements the work accomplished within previous projects, ATTRACkTIVE and CO-ACTIVE, in the areas of travel shopping, trip tracking, booking and ticketing, and the development of a travel companion. The project not only will enhance and provide extra functionalities to the existing IP4 ecosystem, but also makes emphasis in the compatibility of this ecosystem with the Mobility as a Service approach.

CONNECTIVE project will be part of Shift2Rail (S2R), the first rail joint technology initiative focused on accelerating the integration of new and advanced technologies into innovative rail product solutions. CONNECTIVE aims to be the technical backbone of S2R´s Innovation Programme 4 (IP4), which addresses the provision of “IT solutions for attractive Railway services”. Thereby, CONNECTIVE will provide other S2R-IP4 projects with a technical framework and a set of tools that will foster the digital transformation of the rail and in general all the transport ecosystem, allowing to reach unprecedented multimodal travel experiences and to improve the fit between supply and demand. CONNECTIVE will provide new levels of interoperability and seamless access to all transport data and services in a multimodal and distributed environment, while offering a common business intelligence to extract insights of the ecosystem, valuable for both users and service providers.

SnapEarth will unlock new value, derive actionable service ideas on top of EO big data collections, and anticipate future priorities by leveraging cutting-edge Artificial Intelligence and Cloud technologies and tools. Thanks to an innovative cloud agnostic product, SafeScale that is already operational on Copernicus RUS project led by CSSI, users and service providers on top of SnapEarth will benefit, in a transparent way, from processing platforms and data collections provided by any of the future C-DIAS and any cloud provider. This cloud brokering solution is providing a performant, cost effective environment, also protecting their investment, for the future third parties which are building their own services. The major breakthrough of SnapEarth comes with a new data analytics service, EarthSignature, which aims to automatically extract semantic information from satellite imagery. The extracted semantic information will be indexed by QWANT search engine and then be easily accessible to a wide range of user communities. EO experts and third parties will be able to train deep learning processing chains using their database of labelled EO images. The database will be near real time enriched. Therefore, SnapEarth allows the market move from analysing EO Big Data towards realizing Fast Data. It makes possible to buy basic imagery analysis as a commodity – much like we buy foundation data today. Several user communities are ready to engage in this new approach. SnapEarth proposes already several pilots projects. The first one (EarthSearch) will boost QWANT number of users through access to this wealth of data through natural language. The second one (EarthPress) involves press users who are very interested having contextual data linked to news. The following ones are linked to several EO vertical markets: EarthClimate, Agri, and Food. The last one EarthSelf-service is dedicated to professional third parties in the same model of the DIAS but ensuring independence.