WP1 - The stakeholders of the project and their needs have been identified in detail and the requirements that an AI solution should satisfy are determined. The overall structure of the pilot experiments, the validation framework and the user journey has been designed. The necessary security and privacy requirements for the platform have been listed.
WP2 - The platform backbone was provided, focusing on architecture, data interoperability, security and cloud infrastructure, resulting in an open-source platform. Subsequently, the focus shifted to the operation, maintenance, and support of the platform for Open Calls and pilot implementations, improving the resilience, flexibility and maintainability of key AI applications and infrastructure services.
WP3 -Efforts have focused enhancing the RAMP marketplace with user flow features such as interaction with the platform integrator, customization, refinement of the kit components and negotiation of the contract. These features have been integrated and tested on the KITT4SME live platform, with APIs that facilitate future updates and extensions. RAMP now supports the user journey in three ways.
WP4 - The “Human-aware digital shop floor data model” has been defined and the model that describe the state of the art of shop floor physical elements and worker’s well-being has been developed. AI-based components (AIQuS, FaMS, IM, VIQE, SADS, IG, MPMS) were made available via the catalogue of functional models integrated into the KITT4SME platform.
WP5 - The Worker Profiler, Production System Profiler, and Qualified Learning Experience Catalogue tools have been updated to improve performance and usability. A new tool, IntelliLearn, has been developed to continuously update the training catalogue with new courses from third-party providers. Additionally, a skills matchmaking tool was implemented to identify and recommend customized training paths based on workers' skill gaps.
WP6 - KPIs for each pilot were reviewed, establishing baselines, evaluation methodologies and KPI owners. The validation processes provided unique results, providing strengths and weaknesses. This data was synthesized into comprehensive conclusions and lessons, forming the basis for practical guidelines to optimize the platform. The results thus demonstrated the effectiveness of the platform in various industrial environments.
WP7 -The Type-A and Type-B Open Calls have concluded, and the funds have been distributed as expected. The type A actions were integrated into the KITT4SME platform while the type B open call concluded with 21 proposals, 8 of which received funding. Both Open Calls included technical and business evaluations of the experiments to identify lessons learned, focusing on challenges, obstacles, opportunities, and strengths.
WP8 - The involvement of DIHs began with the development of an ecosystem building strategy, the creation of a management body and collaboration with the I4MS and DIH projects. Efforts focused on leveraging partner networks to engage early adopters, coordinate the KITT4SME community, and ensure its sustainability. By the end of the project, the CRM had registered 761 stakeholders, including AI solution providers, manufacturing SMEs, DIHs, clusters and other entities. Activities included online events, workshops, meetings and events to promote collaboration and engagement.
WP9 - All dissemination and communication actions achieved their KPIs, increasing public awareness through social media (1,482 followers, 100,350 impressions) and the project website (41,485 visitors, 59,499 views). A new data model has been approved for standardization and a multi-pronged sustainable business model has been developed to support the commercial use of the platform.
WP10 - Activities initially focused on implementing the recommendations of the review, organizing a further review meeting and preparing use cases to demonstrate the value of the platform to end users in the manufacturing sector. The final reopened results were improved, including extended validation, and resubmitted as required.
