Speed-Up the Configuration of complex Decision-Making: Models speed up the configuration of resource allocation:
Our KER “Knowledge Provisioning Ecosystem” provides a modelling and configuration environments to flexibly compose user interfaces, orchestration of AI services and corresponding connectivity in form of a Low Code / No Code platform. We developed a connectivity meta model and demonstrated its applicability by connecting management software such as the EAM tool ADOIT with LLMS provided by OpenAI and Mistral to flexibly compose connected solutions. This environment is the basis of all demonstrators and most of the prototypes and was used by the end users.
Enable Compliance in Decision-Making by approved Models: Using methods and tools to approve decision models:
Our KER “Data Provisioning Ecosystem” offers the ISO 10303 STEP standard-based repository utilizing the EDMtruePLMTM application, acting as the central hub for data management, and playing a crucial role as the primary repository for all data. It is designed to interface seamlessly with other components, allowing for efficient data exchange, whether it stores results from decision-making or imports data for analysis. Utilizing the EDMtruePLMTM application, the Knowledge Base supports the creation and management of digital twins and digital shadows, ensuring that lifecycle data of physical assets is readily accessible. It integrates with AI services and multi-agent systems, with machine learning algorithms utilizing stored data for training and predictive analytics, and agents’ digital representations linked to their configurations for ongoing performance optimization.
Improve the Co-creation Capabilities: Using physical laboratories enabling participatory and user-centred design:
Our KER “OMiLAB Digital Innovation Environment ” is characterized by a product-service offering, whereas the Scene2Model platform is considered the product and offered as an open-source implementation and corresponding services are provided as added-value capabilities by the community.
The evolution of the KER is organized via community contributions or the world-wide spanning community consisting of 28 laboratories. Any member of the community (organisation or individual can contribute content, functionality, experience/best practice, which are stored within the network and provided based on specific needs and requirements analysis.
