To reach its objectives, among its main achievements at M18, AI REGIO has developed a Reference Architecture for AI for manufacturing system, made by complementary platforms, namely Data4AI, AI4Manufacturing Toolkit, Data Space for Manufacturing, the DIHIWARE and the Industry 5.0:
- DATA4AI data quality for AI applications, to ensure that the users data will be available for AI applications in the right quality, quantity and at the right time by using specific data workflows and data labeling on the basis of semantic context.
- AI4Manufacturing Toolkit, an orchestrator of AI pipelines made by reusable AI resources composed in a workflow.
- Data Space for Manufacturing, a data sovereignty solution based on International Data Space open source approach.
- The DIHIWARE platform, integrated and customized for the AI domain, to enable DIH innovation and collaboration
- The Industry 5.0 platform, a set of integrated tools to go beyond the Industry 4.0 approach, focused mainly on technological improvements in production systems, to achieve the relevant potential benefits enabled by effective bi-directional human-machine interaction.
AI REGIO has also developed/enacted the following methodologies, to support the SME-led experiments and to cross-fertilize the European SME landscape:
- The 6P assessment methodology, for assessing the impact of the experiments on the respective organizations; conducted with an online assessment tool - developed by POLIMI - to support manufacturing companies to assess their current and expected level of Digitization, and to define Digital Transformation pathways.
- The Trial Handbook methodology, together with the AI REGIO requirement engineering methodology, to support the technological organizational changes.
- The METHODology for DIH (METHODIH), to evaluate and assess the DIHs value proposition, customer orientation and market sustainability.
- The TEchnology-REgulatory Sandbox (TERESA) concept, to address the regulatory and ethical issues derived by adoption of Human-AI interaction in production systems
- the Didactic Factories (DF) concept has been developed and a first wave of several DFs has been identified. Community building activities already take place in the form of workshops and regular meetings, in order also to allow experimentation of the TERESA concept.
- Finally, AI REGIO has progressed toward the objective to design and develop a structured methodology able to assess the current level of AI-digital maturity of companies (AS-IS), quantify the desired level of AI-digital maturity (TO-BE), and to design a specific action plan to allow the transition needed to fill the gaps in terms of job and skills competences.
AI REGIO has implemented 17 Experiments out of 13 European regions and has supported 21 Open Call Experiments out of 20 regions in the Europe area. In total, AI REGIO has implemented and supported 65 testing activities all round Europe, including Didactic Factories’ and TERESAs’ ones. 18 AI REGIO organizations have launched innovations new to the market and 22 have launched innovations new to the company. Among the 18 which launched innovations new to the market 12 are product or services, the remaining are methods.
