Historically, before proceeding to implement any software solution, a thorough scoping exercise would capture requirements around people or stakeholders involved, business processes and tools, or an “as-is” architecture landscape. Today any resilient AI project must capture an additional, and perhaps the most important, factor, that of Data. As such, the goal of this chapter is to inform on best practice and the right (cloud) data architectures and orchestration requirements to ensure the successful delivery of an AI project.
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