Quickstart guide

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

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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

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