WIRELESS AUTONOMOUS, RELIABLE AND RESILIENT PRODUCTION OPERATION ARCHITECTURE FOR COGNITIVE MANUFACTURING
Manufacturing SMEs which will be able to develop digital cognitive automation systems thanks to a facilitated access to several ICT tools.
Automation and machine tool/robot providers which can incorporate open CPS trusted platforms as part of next generation smart production line components and solutions.
Developers of cognitive (learning, analysis, knowledge management capability services) and automation apps for autonomous service support.
Providers of cloud and HPC simulation and computation services that could host the operation of advanced cognitive services.
Leveraging reference heterogeneous communications and networking architecture to support connectivity & data management in CPPS.
Provisioning of robust business development frameworks that will drive a business-oriented and RoI rooted approach to migration towards digital automation.
Facilitate the growth of a digital multi-sided ecosystem through the set-up of an open ecosystem to facilitate the access to digitalization technologies to SMMEs.
Alignment with major international standards and integration with key experimental infrastructures and ICT for Manufacturing innovation hubs.
AUTOWARE at ICT Viena
At the ICT 2018 Conference, TTTech Computertechnik AG organized a networking session named “Shared Thoughts, Shared Solutions – Automated Driving meets Industrial IoT”, where the main idea was to raise awareness on the common challenges (technical and non-technical) and potentials for shared cross-domain solutions in the domain of automated driving and industrial IoT.
Shared Thoughts, Shared Solutions- Automated Driving meets Industrial IoT
Network Session to raise awareness challenges and potential for shared cross domain solutions in IoT
In December, TTTech is hosting a networking session at the upcoming ICT conference in Vienna. The networking session brings academic and industrial audience together from all over Europe to discuss two of the most innovative research areas in an interactive network session: Automated driving and industrial IoT.