Generate ideas for an AI data space and determine an AI application that requires data sharing between multiple parties. Define the goals and scope of the AI data space, determine the feasibility and approach and activate key stakeholders
There are multiple parties that have a common purpose they can articulate and want to co-develop.
Identify challenges and opportunities that can be solved through data sharing for AI to generate ideas for an AI application
Using your brainstorming method of choice, determine potential ideas for use cases while taking inspiration from existing resources
Assess the potential value of your AI application to determine feasibility of realising it. Clearly define the scope of the AI data space to ensure focus.
Determine the scope and feasibility of your AI data sharing use case using the DSC Use Case Playbook for support. Review relevant regulation to confirm legality of your AI application
Determine what actors are involved in your AI data space
Activate stakeholders by emphasising the value of the AI data space and identify and activate frontrunners. Use the DSC Use Case Playbook to help you determine who the other actors in your AI data space are and what their roles are.
Start planning to realise your AI data space
Reach an agreement on whether you want to continue with the AI data space. Create a project plan for the design, implementation and operationalisation phases