TOPIC-1 Manufacturing Data Spaces and Data4AI pipelinesThe main goal of TOPIC-1 proposals is to build embryonic Data Spaces for Manufacturing, while showing the benefits of enhancing the value of the manufacturing data, before they are used in advanced AI applications. Data originating from different data sources have different values for further analyses and are characterised by heterogeneous quality levels, so that a flexible and configurable Data Quality pipeline is needed. AI REGIO defines a high-level architecture for Data4AI applications and recommends the usage of end-to-end Data Pipelines. Proposals in this topic shall provide end-to-end business scenarios, reflecting real industry challenges and defining and measuring realistic data-driven business KPIs. In this perspective, it is expected that the application experiments provide their own datasets and the commitment of Manufacturing SMEs to define and measure the business benefits from Data4AI applications.

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TOPIC-2 AI for Manufacturing Applications and AI-on-demand Platform contributionsTOPIC - 2 embraces several areas such as Smart Manufacturing, Intelligent Product Service Systems, Agile and Dynamic Value Chains, Industry 5.0 and Human-AI interaction.
the AI REGIO wave 2 application experiments are expected to contribute to the Europe’s AI-on-demand Platform as a pan-EU one-stop-shop for AI knowledge, technology, tools, services and experts. The platform acts as a facilitator of knowledge transfer from research to multiple business domains, manufacturing among them.
The main goal of TOPIC-2 proposals is to develop advanced AI applications for Manufacturing Products, Processes. Value Chains, which could enrich the AI on demand platform in one or both of the following aspects:
• AI Assets, Case Studies in the Manufacturing Vertical of the AI4Europe Portal.
• AI Experiments and resources Marketplace of the AI4Europe ACUMOS-based experimental facility.

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TOPIC-1 Manufacturing Data Spaces and Data4AI pipelinesThe main goal of TOPIC-1 proposals is to build embryonic Data Spaces for Manufacturing, while showing the benefits of enhancing the value of the manufacturing data, before they are used in advanced AI applications. Data originating from different data sources have different values for further analyses and are characterised by heterogeneous quality levels, so that a flexible and configurable Data Quality pipeline is needed. AI REGIO defines a high-level architecture for Data4AI applications and recommends the usage of end-to-end Data Pipelines. Proposals in this topic shall provide end-to-end business scenarios, reflecting real industry challenges and defining and measuring realistic data-driven business KPIs. In this perspective, it is expected that the application experiments provide their own datasets and the commitment of Manufacturing SMEs to define and measure the business benefits from Data4AI applications.

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TOPIC-2 AI for Manufacturing Applications and AI-on-demand Platform contributionsTOPIC - 2 embraces several areas such as Smart Manufacturing, Intelligent Product Service Systems, Agile and Dynamic Value Chains, Industry 5.0 and Human-AI interaction.
the AI REGIO wave 2 application experiments are expected to contribute to the Europe’s AI-on-demand Platform as a pan-EU one-stop-shop for AI knowledge, technology, tools, services and experts. The platform acts as a facilitator of knowledge transfer from research to multiple business domains, manufacturing among them.
The main goal of TOPIC-2 proposals is to develop advanced AI applications for Manufacturing Products, Processes. Value Chains, which could enrich the AI on demand platform in one or both of the following aspects:
• AI Assets, Case Studies in the Manufacturing Vertical of the AI4Europe Portal.
• AI Experiments and resources Marketplace of the AI4Europe ACUMOS-based experimental facility.

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TOPIC-3 AI Didactic Factories for Manufacturing and TERESA ExperimentationsThe AI REGIO Network of Didactic Factories (DFs) aims at building an ecosystem of experimental facilities which could combine the Skills Development aspects of Learning / Teaching Factories with the hands-on “test before invest” Technology Piloting aspects of European Digital Innovation Hubs and AI TEF for Manufacturing calls in the Digital Europe Programme.
Additionally, in the AI REGIO DF network, TERESA could be operated with the aim to experiment ethical Human-AI interaction aspects related to e.g. safety, wellbeing, comfort and acceptance by human workers; improving working conditions in workplaces and social inclusion of particular disadvantaged workers’ categories.
The main goal of TOPIC-3 proposals is to develop an SME-driven experiment exploiting the Remotisation services provided by a DF (DIH). TERESA experimentations addressing Human-AI interactions and regulatory issues could be optionally implemented as well.

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