Through the S3HUbsinCE project Ecipa aims to enlash the potential of innovation and to share strategies and good entrepreneurial practices of companies and network in the field of smart specialization strategies.
This webinar is addressed to those who are interested in learning more about how Regional Innovative Networks can foster innovation and share innovations in the field of IoT and Industrial IoT.
The online event will be a way to boost cooperation opportunities and knowledge transfer in smart manufacturing (such as the Talentjourney project, which aims at creating a European Centre of Vocational Excellence (CoVE) in the field).Veneto experience will be brought as a study case and a starting point for discussion.
The webinar will be divided into two main sessions:
a) session 1_CONTEXT: introduction to the Veneto ecosystem and to the IMPROVENET Regional Innovative Network
Speaker: Alessandro Beghi (scientific coordinator of Improvenet and full professor of Control Systems Engineering at the Dept. of information engineering of University of Padova)
b) session 2_STUDY CASES of the IMPROVENET network:
– PreMANI: Design, development and implementation of Digital Manufacturing solutions for Quality forecasting and Intelligent Maintenance. Speaker: Gian Antonio Susto (Statwolf)
– ADMIN 4D: ADditive Manufacturing & INdustry 4.0 as innovation DriverSpeakers: Andrea Beretta (Desamanera) & Stefano Vitturi (CNR)
The final part of the webinar will be dedicated to Questions & Answers.
Some additional information about IMPROVENET:
IMPROVENET (ICT for Manufacturing Processes Veneto Network) is a network made up of a group of manufacturing companies and service providers with a high knowledge and research content who intend to tackle innovation by investing in technologies 4.0
Its mission is to spread digital technologies in the Veneto regional industrial context and to allow companies to be more competitive, productive and responsive to market needs, enriching the processes and instrumental products with services, ensuring maximum production efficiency.