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6 June 2024
Vienna, Austria
Manufacturing Day

AI5production is one of four Austrian European Digital Innovation Hubs, aimed at facilitating the digital transformation of manufacturing companies with up to 2999 employees. This initiative is part of a larger European effort to foster innovation and competitiveness in the digital age. Goals and Services: The primary goal of AI5production is to provide comprehensive digitalization services to manufacturing companies at no cost. Coordinated by the TU Wien's Pilot Factory, the hub comprises 16 partner institutions located in Vienna and Upper Austria, covering a wide range of expertise.

The Austrian Manufacturing Innovation Data Space (AMIDS) stems from the Lin-X projects (PilotLin-X and ResearchLin-X) and digitally connects the pilot factories of JKU Linz, TU Graz, and TU Wien to demonstrate the co-design and co-production of production parts via 2 use cases. By creating an open data space based on the concept of Gaia-X, AMIDS aims to facilitate knowledge exchange and collaboration between companies and research institutions, thereby enhancing Austria's innovation and competitiveness in the industry.

 

The main objective of EU.FFICIENT is to create, pilot and validate Communities of Expert Facilitators (CEFs) to improve co-creation processes in Europe, with a focus on personalised training, networking and hands-on learning. Four CEFs will be piloted (Advanced Manufacturing, Mobility, HealthTech and AI/Digital), allowing for cross-fertilisation and effective cross comparison between them.

 

The EuProGigant project aims to develop an “European Production Giganet” on the foundation of the Gaia-X technology. The goal is to create an ecosystem in which manufacturing companies can exchange data safely and securely. This is done to maintain the competitiveness of the European manufacturing industry by enabling easier collaboration. Specifically, the project tackles 4 use cases to achieve this. These are component matching to ensure that components fit well despite tight tolerances, the validation platform for companies to check the accuracy of their production data for added value along the value chain, mobile processing machines which should used for more purposes like increased flexibility and the CO2 footprint in the product development stage to assess the ecological impact of a product along its supply chain.

 

The Quick Challenge-Driven, Human-Centred Co-Creation Mechanism for INDUStry-Academia Collaborations (INDUSAC) is a HORIZON EUROPE project. The goal of this project is to foster industry-academia collaborations between companies, students, and researchers all over Europe. At least 300 international co-creation projects would be selected for implementation to ensure the validation of the mechanism. These micro-projects led by teams consisting of students, researchers, and company staff cover various activities to target numerous industrial sectors.

 

MIT.IC.AT connects Austrian companies, especially SMEs, with the European knowledge and innovation community of EIT Manufacturing by means of a customised service portfolio and thus supports innovations in production and production-related services in Austria. Using existing infrastructures and local networks, MIT.IC.AT establishes a strong community for the manufacturing industry in Austria and strengthens the competitiveness of domestic industrial companies by networking and initiating cooperation with European companies and research institutions, providing European best practice examples and targeted training measures.

 

PreMETS is an ERASMUS+ project aimed at enhancing Predictive Maintenance (PM) practices by addressing the lack of comprehensive PM education in industry, academia, and vocational training. The project aims to share Predictive Maintenance knowledge among education, research, public sector, and business. PreMETS builds and supports effective Predictive Maintenance education systems through a digital platform. This promotes connectivity, inclusivity, innovation, and equal access to high-quality education in Predictive Maintenance.

 

Women TechEU aims to empower and support women entrepreneurs in the deep tech landscape by providing financial support and mentoring services. With a budget of 12 million EUR in equity-free grants, the project will financially support 160 women-led deep tech companies. Each beneficiary will receive a €75k grant (equity-free) as well as a personalised business development programme which includes mentoring, coaching and targeted training among other options.

Registration
Closed since 6 June 2024
Location
Aula der Wissenschaften (Hall of Sciences), Wollzeile 27A
1010 Vienna, Austria
Organised by
Meetings
Participants 474
Meetings 204
Participants
Austria 292
Germany 25
Slovakia 24
Czech Republic 22
India 20
Hungary 13
Türkiye 10
Bulgaria 10
Netherlands 8
United Kingdom 8
Switzerland 7
France 7
Slovenia 7
Poland 6
Italy 6
Ukraine 5
Bosnia And Herzegovina 5
Japan 5
South Africa 4
United States 4
Finland 4
Croatia 4
Kosovo 4
Serbia 4
Greece 3
Denmark 3
Israel 3
Spain 3
Romania 3
Belgium 3
Uganda 2
China 2
Estonia 2
Portugal 2
Ghana 2
Norway 2
Thailand 1
Latvia 1
Canada 1
Kazakhstan 1
Sweden 1
Nigeria 1
Brazil 1
United Arab Emirates 1
China (Hong Kong) 1
Lithuania 1
Iran, Islamic Republic Of 1
Lebanon 1
Singapore 1
Total 547
Participants
Startup/Scaleup 150
Association/NGO/Public Institution 90
SME 63
University 57
Consulting Company 26
Large Enterprise 26
Investor 24
Other 15
Non-University Research Institute 14
City/Administration 4
Freelancer 2
Media 2
Total 473