Übersicht
This service helps companies understand whether and how their digital, AI or robotics solution can participate in a trusted sectorial data space or DSI before implementation. We examine the solution architecture, data flows, interfaces, data formats, metadata, identity and access mechanisms, security controls and proposed data-sharing conditions. Together with the customer, we define one or more realistic use cases, such as publishing sensor or machine data, consuming farm data, or offering an AI-enabled service to partners. The current solution is compared with the technical and organisational capabilities needed for data space participation. The customer receives a tailored integration blueprint containing the target architecture, interface and data mapping requirements, identified gaps and risks, test scenarios, effort assumptions and an implementation roadmap. The service is a preparatory testing and experimentation activity and can directly lead into the data space testing and validation service.
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