Europe has a lack of intellectual property in integrating artificial intelligence (AI) into digital applications. This is critical since the automatization reached saturated levels and AI in digitisation is an accepted approach for the upcoming transformation of the European industry. The potential of AI in economy and society is by far not enough exploited. Potential users of AI are not sufficiently supported to facilitate the integration of AI into their applications. Enabling of performance, industry and humanity by AI for digitising industry is the key to push the AI revolution in Europe and step into the digital age. Existing services providing state of the art machine learning (ML) and artificial intelligence solutions are currently available in the cloud. In this project, we aim to transfer machine learning and AI from the cloud to the edge in manufacturing, mobility and robotics. To achieve these targets we connect factories, processes, and devices within digitised industry by utilizing ML and AI for human machine collaboration, change detection, and detection of abnormalities. Hence, we gain knowledge by using existing data and arrange them into a processable representation or collect new data. We use this knowledge to change the semantics and the logical layer with a distributed system intelligence for e.g. quality control, production optimization. In AI4DI, we define a 7-key-target-approach to evaluate the relevance of AI methods within digitised industry. Each key target represents a field of activity and the corresponding target at the same time, dividing systems into heterogenous and homogenous systems, and evolving a common AI method understanding for these systems as well as for human machine collaboration. Furthermore, we investigate, develop and apply AI tools for change detection and distributed system intelligence, and develop hardware and software modules as internet of things (IoT) devices for sensing, actuating, and connectivity processing.

The global objective of RaRe2 project is to create a flexible and resilient Holistic Ecosystem Platform, enabled by the interaction among many European organizations cooperating in the fast reconfiguration of process chains, through collaborative systems and adaptable workforce upskilling. RaRe2 will help make the European manufacturing landscape sustainably robust to unexpected market change, sudden disruption, legal change, or every kind of crisis and changing scenario including climate and weather related. RaRe2 has set strategic and operational objectives, which include innovative digital solutions and knowledge about standards and methodologies, which can support the quickness in reconfiguration and certifications at early stages. RaRe2 will enable the generation of a green wave that will early detect an upcoming issue, alert the decision maker, quickly propose simulations about potential new destinations (adjacent reasonable sectors and products), new routes (how to produce it, with internal reconfiguration and supply chain involvement), the plan to put the change in place, the expected speed of each connected node of the new route, robustness. Key pillars: i) AI-based early detection of reconfiguration needs, from internal and external sources; ii) rapid adaptation of products, processes and supply chain to the changed situations; iii) empowering and upskilling humans, supporting decision makers to make fast and concrete decisions and quickly ramp up of the workforce. RaRe2 will be exploited to create a strong and reliable network of organizations interested in cooperating in rapid reconfiguration events, able to take into account social, market, legal, sustainability and economical factors. The consortium is based on 22 European partners, which will develop and validate the solution in four industrial pilots plus one value chain oriented demonstrator. The International Cooperation is guaranteed by a pilot which has the main headquarter in Japan.