Insights gained in FI-PPP Phase 1 emphasize the need for novel ICT solutions that allow radical improvements for collaboration in business networks. Primary sectors demanding such solutions are Agri-Food and Transport & Logistics industries: several actors (incl. enterprises, authorities, service providers) need to exchange information & communicate across org. borders to conduct business. Current ICT solutions limit this to mostly manual efforts, therewith tremendously hampering business efficiency, effectiveness & sustainability.Leveraging on outcomes of two complementary Phase 1 use case projects (FInest & SmartAgriFood), aim of FIspace is to pioneer towards fundamental changes on how collaborative business networks will work in future. FIspace will develop a multi-domain Business Collaboration Space (short: FIspace) that employs FI technologies for enabling seamless collaboration in open, cross-organizational business networks, establish eight working Experimentation Sites in Europe where Pilot Applications are tested in Early Trials for Agri-Food, Transport & Logistics and prepare for industrial uptake by engaging with players & associations from relevant industry sectors and IT industry.FIspace will extensively utilize GEs and Development Kit from FI-PPP Core Platform, validating its capabilities, openness & versatility for realizing future B2B collaboration solutions. FIspace will be open; other FI-PPP projects and external users & solution providers can easily use, test & exploit it. It supports a future business model where external solution providers, esp. SMEs, can provide additional, novel, and disruptive solutions into the FIspace ecosystem. With this, FIspace will prepare for establishment of a future standard for cross-organizational business collaboration leapfrogging pressing challenges arising in industry, exploit FI technologies developed in FI PPP, and lay foundation for industrial uptake & innovation enablement planned for FI-PPP Phase 3.
More information under: http://www.fispace.eu/
FIspace has received funding from the European Union’s RP 7 research and innovation programme under grant agreement no. 604123