This document contains supporting documentation and tools for the first two phases of realising an operational AI data space
Phase 1: Identify
Analyse the feasibility of the AI data space for the use case. Create a functional and technical design in line with interoperability guidelines from the NL AIC. Formulate agreements on business, operational and legal topics.
Outcome
Proof of Concept AI data space
Phase 2: Design and create
Analyse the feasibility of the AI data space for the use case. Create a functional and technical design in line with interoperability guidelines from the NL AIC. Formulate agreements on business, operational and legal topics.
Outcome
Proof of Concept AI data space
Phase 3: Implement and operationalise
Transform the PoC to an operational AI data space by implementing the functional and technical design and formalising agreements made on business, operational and legal topics. Operationalise the governance that oversees the rules and procedures of the AI data space.
Outcome
Operational AI data space
More information soon
Phase 4: Run and scale
Run and scale the operational AI data space and enable new use cases.
Outcome
Flourishing data sharing for AI landscape
