knowlEdge: Towards AI powered manufacturing services, processes, and products in an edge-to-cloudknowlEdge

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AI is one of the biggest mega-trends towards the 4th industrial revolution. While these technologies promise businesssustainability and product/process quality, it seems that the ever-changing market demands and the lack of skilled humans,in combination with the complexity of technologies, raise an urgent need for new suggestions. Suggestions that will be agile,reusable, distributed, scalable, accountable, secure, standardized and collaborative. To break the entry barriers for thesetechnologies and unleash their potential, the knowlEdge project will develop a new generation of AI methods, systems anddata management infrastructure. This framework will provide means for the secure management of distributed data and thecomputational infrastructure to execute the needed analytic algorithms and redistribute the knowledge towards a knowledgeexchange society. To do so, knowlEdge proposes 6 major innovations in the areas of data management, data analytics andknowledge management: (i) A set of AI services that allow the usage of edge deployments as computational and live datainfrastructure, an edge continuous learning execution pipeline; (ii) A digital twin of the shop-floor to test the AI models; (iii) Adata management framework deployed from the edge to the cloud ensuring data quality, privacy and confidentiality, buildinga data safe fog continuum; (iv) Human-AI Collaboration and Domain Knowledge Fusion tools for domain experts to injecttheir experience into the system to trigger an automatic discovery of knowledge that allows the system to adapt automaticallyto system changes; (v) A set of standardization mechanisms for the exchange of trained AI-models from one context toanother; (vi) A knowledge marketplace platform to distribute and interchange AI trained models. The knowlEdge consortiumconsists of 12 partners from 7 EU countries, and its solution will be tested and evaluated in 3 manufacturing sectors.